Large power transformer slots
The big transformers a data centre needs to take grid power. Ordering one now means waiting more than two years.
judged, with a citation claimed, no citationNumber: papers, preprints and grants the feeds collected — unreviewed
Searched for “power transformer”, “solid-state transformer”, “transformer insulation” in titles and abstracts.
All stagesFundamental researchApplied / labPilot / demonstrationEarly commercialAt scaleNewestMost cited
Fundamental research — readiness 1 to 2 of the nine-point scale. Evidence it takes: A paper or preprint on the underlying physics or chemistry; a basic-research grant.
Collected by the feeds
- Integrating Circular Economy Principles into Power Transformer Fleets through Sustainable Fluid Retrofilling
The project TRANSFLOW will conduct research on the topic of transformer retrofilling with alternative insulating liquids. This technique involves replacing the mineral oil (MO) in a power transformer in service with a biodegradable and less flammable liquid. According to previous…
Fundamental research · Research grant.From OpenAIRE (EU and national funders) · not yet reviewed
- Rapid Response Strategy for Transformer Gas Relay Fault Diagnosis Assisted by the IDBO-VMD-SVM Combined Model
Power transformers are core components of power grids, and their accurate fault diagnosis is critical for ensuring secure and stable grid operation. To address the limitations of conventional gas relays: inadequate extraction of dissolved gas analysis (DGA) features in…
State Grid Corporation of China (China)Wuhan University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Creation of a Wave–Particle Model of Electrical Transformers Through Characterizing the Energy Spectral Density of Total Losses
This study presents a conceptual multi-scale characterization framework for analyzing the total losses in oil-immersed ONAN distribution transformers. Rather than proposing a real-time partial discharge detection system or a validated energy recovery technology, our work…
Universidad Distrital Francisco José de CaldasUniversidad de CaraboboUniversidad de Jaén
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Temperature-Dependent Electric Field Distribution in Current Transformers with Advanced Paper–Liquid Insulation Systems
The dielectric performance of current transformer insulation systems is influenced by the temperature-dependent properties of solid and liquid insulating materials. This study analyzes the dielectric and electric field behavior of advanced paper–liquid insulation systems by…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Rate-Modulated Adaptive Weighting of DGA Parameters for Dynamic DGAF Assessment of Power Transformers
Power transformers are among the most critical assets in electrical power systems, making reliable condition assessment essential for maintaining operational reliability and supporting effective maintenance strategies. DGA is widely employed for transformer condition assessment…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Evidence-hierarchy audit of public DGA benchmarks for trustworthy AI-assisted transformer assessment
Dissolved gas analysis (DGA) is widely used for condition assessment of oil-immersed power transformers, but public-data artificial intelligence (AI) studies can overstate evidential reliability when labels are heterogeneous, samples overlap across benchmarks, or random splits…
Shandong University of TechnologyThe Royal Melbourne Hospital
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Transformer Fault Diagnosis Method Based on TLR-WSMOTE and IAOO-SVM-AdaBoost
In view of the issues of sample imbalance and low diagnostic accuracy associated with traditional methods for oil-immersed power transformer fault diagnosis, an ensemble support vector machine (SVM)-based fault diagnosis model is proposed, which incorporates the Tomek link…
Heilongjiang University of Science and Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Intelligent Remaining Useful Life Prediction of Power Transformers Using Machine Learning
Background: Power transformers play an integral role in power generation and transmission. Transformer failures can lead to service interruptions, reduce system reliability, and incur significant failure-related costs. Efficient transformer maintenance requires accurate condition…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Health Index Evaluation of Power Transformers Based on Electrical and Insulation Diagnostic Parameters
Power transformers are essential components of electrical power transmission systems, where insulation deterioration and operational aging can compromise reliability and increase the risk of failure. Comprehensive condition assessment is therefore necessary to support effective…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Modulation of Soft Magnetic Properties in Fe-Based Amorphous and Nanocrystalline Alloys for Power Transformers: A Review
Fe-based amorphous and nanocrystalline alloys are essential core materials for high-efficiency distribution transformers, high-frequency transformers, and power electronic transformers, owing to their high saturation magnetic flux density (Bs), low coercivity (Hc), low core loss…
Guangxi Minzu UniversityGuilin University of Electronic Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Development of the Technical Condition Identifi cation System for Power Transformer High-Voltage Bushings Based on the Thermographic Survey Data
This paper addresses the problem of technical condition identifi cation for high-voltage bushings of power transformers based on thermographic survey data. A solution is proposed to challenges of region-of-interest localization on thermograms, extraction of informative features…
Industrial University of Tyumen
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Optimized Efficiency to Minimize Transmission Losses and Reduce Overall System Operating Costs of 1100 kV Converter Transformers for Power Transmission System
Abstract Converter transformers are the largest single source of controllable loss in a line-commutated ultra-high-voltage direct-current (UHVDC) converter station, yet they are usually specified with loss-capitalization rules developed for sinusoidally loaded power transformers…
Atlantic International University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Vibration-Based Fault Diagnosis of Power-Transformer On-Load Tap Changers Using SGMD and CMPA-SMAGNet
Fault diagnosis of power-transformer on-load tap changers (OLTCs) is difficult because their vibration signals are nonlinear and nonstationary. This study evaluates CMPA-SMAGNet, a diagnostic framework that combines symplectic geometry mode decomposition (SGMD), a dual-branch…
State Grid Shandong Electric Power Company (China)Shandong University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Comparative compatibility study of silicone oil and mineral oil with materials in power transformer
The long-term reliability of power transformers is fundamental to the security and stability of the power system, and this reliability depends critically on the compatibility of the insulating liquid with all internal materials. The growing demand for enhanced fire safety has…
Tsinghua UniversityTebian Electric Apparatus (China)China Electric Power Research Institute
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Wiring Study of Replacement and Optimization of Micom Type OCR and CBF Protection Relays on the 150Kv Power Transformer Bay Kupang Panel in GIS Sawahan
General Background Substations and gas insulated substations demand highly reliable electrical systems to maintain continuous energy distribution. Specific Background Securing these high-voltage transmission units requires accurate overcurrent and circuit breaker failure…
Universitas Muhammadiyah Sidoarjo
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Deep Learning and Transformer Based Models For Power Transformer Nameplate Information Extraction: A Systematic Comparative Review
Power-transformer nameplates record the ratings and identification data required for asset registers, loading studies, protection settings and electrical audits, yet field photographs of these plates are frequently degraded by specular glare, corrosion, low contrast, perspective…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Assessment of the technical condition of a transformer based on the operational parameters of its oil using the fuzzy logic method
In this article, a mathematical model and decision-making algorithm based on the theory of fuzzy logic were developed to assess the technical condition of a transformer based on the operational indicators of its oil. In the study, the water content, acid number, amount of…
Academy of Sciences Republic of UzbekistanTashkent State Transport University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- A multimodal measurement and data fusion framework for estimating power transformer insulation condition using heterogeneous sensor systems
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Machine learning for power transformer diagnostics
Electric power system transformers are significant and high capital grid and network assets which require condition monitoring and pre-emptive assessment for ongoing resource management and regular maintenance. Among the myriad of methods suitable for transformer assessment…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIalso at doi.org
- Fast reconstruction method for three-dimensional deformation fields of transformer windings based on vector POD and QR-D optimization
Rapid reconstruction of three-dimensional full-field winding deformation is important for assessing the post-short-circuit mechanical condition of power transformers. This paper proposes a fast reconstruction method combining vector proper orthogonal decomposition (Vector POD)…
North China Electric Power University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Quality management of the cover-tank bolted joint in power transformers
Namen diplomske naloge je obravnava in odpravljanje problematike puščanja vijačene zveze med pokrovom in kotlom na energetskih transformatorjih. V teoretičnem delu so predstavljene osnove vijačnih zvez ter orodji obvladovanja kakovosti. V eksperimentalnem delu je predstavljeno…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedPDF
- NUMERICAL INVESTIGATION OF THE PERFORMANCE VARIATION OF A FAN-HEAT EXCHANGER SYSTEM FOR POWER TRANSFORMERS UNDER EXTERNAL WIND CONDITIONS
This study applied a simplified system-level CFD model to evaluate the cooling performance of an outdoor air-cooled fan-heat exchanger system for a power-plant transformer under various external wind conditions.The fan was modeled using the pressure-jump method, while the heat…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- A Binary Hybrid Particle Whale Optimization Framework for Feature Selection in Industrial Transformer Partial Discharge Classification
Partial discharge (PD) testing based on IEC 60270 is widely employed for assessing the insulation integrity of power transformers. Although numerous statistical descriptors can be extracted from PD measurements, redundant and irrelevant features can degrade classification…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Quantitative determination of residual mineral oil in ester-Retrofilled transformers using Fourier-Transform infrared spectroscopy
Power and distribution transformers are essential components in electrical systems, allowing the transformation of the voltage level of the energy to ensure its safe and reliable delivery. Transformer insulation is made of cellulose-based solid materials and dielectric liquids…
Universidad Carlos III de Madrid
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- ANALYSIS OF ACOUSTIC-VIBRATION SIGNALS OF AMORPHOUS ALLOY THREE-DIMENSIONAL COILED CORE TRANSFORMERS AND ITS CONDITION ASSESSMENT
Transformer acoustic and vibration signals can reflect internal mechanical conditions, thereby enabling early warning of typical abnormalities.Because amorphous-alloy threedimensional wound-core transformers differ substantially from conventional transformers in both core…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Finite element analysis of electromagnetic-thermal-fluid-vibroacoustic coupling in an oil-immersed transformer under DC bias
DC bias in oil-immersed power transformers may distort excitation currents, intensify local saturation, increase electromagnetic losses, and amplify thermal, mechanical, and acoustic responses. This paper establishes a one-way coupled electromagnetic-thermal-fluid-vibroacoustic…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Spectral knowledge encoding and spatial anomaly localisation for interpretable power transformer fault detection
Vibration-based fault detection for in-service power transformers is challenged by operating-condition variability, scarce confirmed fault labels, and the need for interpretable evidence to support maintenance decisions. This paper presents two complementary diagnostic modes and…
Tsinghua UniversityChina Southern Power Grid (China)
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Design and control of solar PV supply integrated with solid state transformer
Shri Govindram Seksaria Institute of Technology and Science
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Experimental evaluation of ensemble learning models for partial discharges detection in transformer insulation mediums
The reliability and stability of power systems largely depend on the integrity of power transformer insulation systems. Early detection of partial discharge (PD) activity plays a crucial role in preventing catastrophic failures, as PDs are localized dielectric breakdowns that…
Higher National Veterinary SchoolZiane Achour University of DjelfaCentre Hospitalo-Universitaire Bab El OuedUniversity of SkikdaHassiba Benbouali University of Chlef+1 more
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Reliability Modeling of Power Transformers with Condition-Based Degradation Warning, Seasonal Load Variation, and Standby Redundancy: A Semi-Markov Approach
Power transformers are critical, capital-intensive assets in electricity distribution networks, and their failure disrupts supply while incurring substantial repair costs. Building on an earlier probabilistic analysis of power transformers with six failure modes and inspection…
National University of Science and Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Risk-Controlled Adaptive-Resolution Fault Diagnosis of Power Transformers Using Dissolved Gas Analysis: Lightweight Hierarchical Learning, Credibility, and Deployment Support
Dissolved gas analysis (DGA) is widely used for transformer condition assessment, but fixed-resolution classifiers may release overly specific fault labels when the available evidence is weak. This study develops a risk-controlled adaptive-resolution framework in which a…
State Grid Corporation of China (China)
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Comparative life cycle cost analysis of transformer insulating fluids considering technical performance impacts
Power transformers are essential components in electrical power systems, regulating voltage levels and ensuring efficient energy delivery. Although mineral oil has traditionally been used as an insulating and cooling fluid, growing concerns about its flammability and…
State University of MalangPoliteknik Negeri Malang
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Mission-Profile-Aware Physics-of-Failure Reliability Assessment and Quantitative FMEA of a 10 kW Solid-State Transformer
Solid-state transformers (SSTs) are pivotal for next-generation power systems, yet their widespread adoption is hindered by reliability uncertainties under diverse operational conditions. This paper introduces a mission-profile-aware, physics-of-failure (PoF) reliability…
New Mexico State UniversitySandia National Laboratories
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Heat Transfer Coefficient of Mineral Oil/Natural Ester Mixture Resulting from Retrofilling in Power Transformers
Mineral oil is being replaced by esters in power equipment. This is due to the environmental and fire protection properties of esters. One such example is retrofilling in power transformers, which involves changing oil into esters. A small amount of oil, up to 15%, remains after…
Poznań University of TechnologyOpole University of Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Acoustic signal enhancement algorithm for transformer based on singular value decomposition and spectral clustering
Abstract Transformers are critical components in power transmission and transformation systems, and their stable operation directly impacts the safety and reliability of the power grid. Due to its non-contact nature and ease of deployment, acoustic signal detection method has…
Wuhan University of Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Knowledge Distillation TabPFN for Predicting Dismantled Material Weight of Retired Oil-Immersed Transformers
The dismantled components of retired oil-immersed power transformers, particularly the windings and core, have high recycling economic value. However, accurately estimating their weight based solely on nameplate information prior to disassembly remains a key challenge for…
Shanghai Electric (China)Dalian University of Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- A new power transformer risk modelling considering cumulative surge effects in insulation coordination studies
Accurate insulation risk assessment plays a critical role in ensuring the reliability of power transformers, given the significant technical complexities involved in their design. Back flashover failure (BF) caused by lightning overvoltages on incoming substation lines must be…
University of BirjandAmirkabir University of Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Analysis of insulation ageing in power transformers based on real operation data and degree of polymerization
Los transformadores de potencia son elementos críticos del sistema eléctrico, cuya vida útil está determinada principalmente por el estado de su sistema de aislamiento, compuesto habitualmente por papel Kraft impregnado en aceite mineral. El papel sufre un proceso de degradación…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewed
- DIAGNOSTICS AND MITIGATION OF PARTIAL DISCHARGES IN POWER TRANSFORMERS
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIalso at doi.org
- A Fuzzy-Logic Approach for Health Index Estimation of OLTCs in Power Transformers
Power transformers are critical assets in complex power grid systems, yet On-Load Tap Changers (OLTCs) account for over 30% of documented outages. This study introduces a Health Index (HI) model for OLTCs that employs a Fuzzy-Logic system to enhance condition-based maintenance…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Physics-Guided Top-Oil Temperature Prediction for Operational Thermal-State Assessment of Oil-Immersed Power Transformers
North China Electric Power University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Transforming transformer diagnostics: Zero-shot learning powered by symptom descriptions and information fusion
Power transformer fault diagnosis is essential for maintaining grid stability, yet conventional approaches face challenges when diagnosing previously unseen fault types. This paper proposes a novel symptom-based information fusion framework for zero-shot diagnosis (SIFZ) to…
Fujian University of TechnologyWuhan University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Modal Analysis and Measurement of Transformer Core before and after DC Bias Compensation
Abstract Aiming at the increasing DC bias phenomenon in the power system, a new power transformer structure with DC bias magnetic compensation is presented. Modal analysis and experimental research of the transformer with the DC bias magnetic compensation are carried out…
Hefei University of Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Transformer Fault Diagnosis Method Based on Multidimensional Feature Fusion and Self-Adaptive Synthetic Over-Sampling Using a Least Squares Support Vector Machine Optimized by Experience Exchange Strategy
As critical equipment in power systems, the reliable operation of power transformers is directly linked to the overall safety of the power grid. Traditional fault diagnosis methods based on dissolved gas analysis generally rely on a single gas feature, which inevitably causes…
China Three Gorges UniversitySecond Hospital of YichangHengyang Academy of Agricultural Sciences
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Uncertainty-Aware Remaining Useful Life Prediction of Power Transformers Using PatchTST and Deep Evidential Regression
Remaining useful life (RUL) prediction of power transformers is essential for ensuring reliable operation and supporting condition-based maintenance. However, the complex nonlinear degradation characteristics and long-term temporal dependencies of transformer monitoring data pose…
Zhongyuan University of TechnologyBeijing Jiaotong University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Seismic Response Amplification Mechanisms and Base-Isolation Retrofit Evaluation of a 500 kV Three-Phase Transformer with Steel Supports
The effects of steel supports on the dynamic characteristics and seismic demands of large three-phase power transformers remain insufficiently quantified. A three-dimensional finite-element model of a 500 kV three-phase transformer was developed to compare configurations without…
Tongji UniversityThe University of TokyoSoutheast UniversityTohoku University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Fault diagnosis in power transformers based on dissolved gas analysis using hybrid stacking and voting ensembles
While machine learning techniques can successfully diagnose power transformer faults, improper application of Synthetic Minority Over-sampling Technique (SMOTE) results in data leakage and deceptive overfitting. In this study, a hybrid machine learning architecture with high…
Karabük UniversityDüzce Üniversitesi
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Optimal Relocation of Power Transformers in Electrical Substations: An Approach to Improve Energy Efficiency
Economic expansion is commonly accompanied by accelerated growth in electricity consumption. In this context, distribution networks play a fundamental role in delivering electricity to end users; however, they remain subject to technical losses. Among system components, power…
Fundação de Amparo à Pesquisa do Espírito SantoUniversidade Federal do Espírito Santo
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Fault Diagnosis in Power Transformers: A Field Case Analysis Based on Visual Inspection and Electrical Testing
This paper presents an analysis of fault cases in three-phase oil-immersed power transformers diagnosed in an industrial environment between 2024 and 2026. The cases were identified through systematic visual inspection, electrical testing, and dissolved gas analysis (DGA), and…
Agência Nacional de Energia Elétrica
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIalso at doi.org
- GR-KANet: A Gas-Relation-Guided Kolmogorov-Arnold Network for Power Transformer Fault Diagnosis
Central South UniversityShandong Jiaotong UniversityHunan Xiangdian Test Research Institute (China)
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers
The rapid growth of artificial intelligence (AI) computing is transforming data centers into large, dynamic electrical loads. Their deployment is primarily constrained by energy availability and grid-connection capacity, which is further aggravated by the ability of…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDFalso at arxiv.org
- Influence of chemical composition on the gassing behavior of biodegradable dielectric liquids: A review
The increasing adoption of biodegradable dielectric liquids in power transformers introduces new challenges for condition assessment, as Dissolved Gas Analysis (DGA) methods developed for mineral oils often yield inconsistent results when applied to alternative insulating fluids…
Tula UniversityGeneral Electric (United States)GE Global Research (United States)Université du Québec à ChicoutimiNatural Sciences and Engineering Research Council of Canada+1 more
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Comparative Life Cycle Assessment of a 630 kVA Liquid-Immersed Distribution Transformer
This paper discusses a comparative life cycle assessment (LCA) carried out on 630 kVA liquid-immersed distribution transformers with different winding conductor materials and energy performance levels. The LCA methodology for power transformers is still under development. Most…
University of BergamoOldham CouncilInternational Copper Association
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Agentic AI-Based Predictive Maintenance in Smart Power Grid Operations
Power grids rank among the most critical infrastructures we depend on, yet the maintenance strategies protecting them are still mostly reactive or scheduled by the calendar rather than by actual condition. Predictive maintenance (PdM) tries to fix this by using…
SRH University BerlinMedrobotics (United States)
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations
Accurate modeling and forecasting of power transformer thermal behavior are critical for reliability, asset lifetime, and optimized power system operation. Numerical approaches such as finite element methods (FEM) and computational fluid dynamics (CFD) offer high fidelity but are…
Fundamental research · No laboratory or pilot wording.From arXiv · not yet reviewedDOIPDF
- Optimized Fuzzy Logic Approach with the IEEE Key Gas Method for Diagnosing Power Transformer Faults Using Dissolved Gas Analysis
Reliable transformer fault diagnosis is essential for maintaining power system stability. The IEEE Key Gas Method (KGM), a widely utilized approach in Dissolved Gas Analysis (DGA), exhibits limitations in addressing ambiguous data and ensuring high diagnostic accuracy. This study…
Fundamental research · No laboratory or pilot wording.From arXiv · not yet reviewedDOIPDF
- An adaptive multi-fuzzy logic model for diagnosing transformer faults using dynamic weight optimization
Dissolved gas analysis (DGA) is crucial for diagnosing early power transformer failures. Traditional DGA interpretation methods like Duval Triangle, IEC ratio, Roger ratio, Doernenburg ratio and Key Gas are inconsistent and vary in accuracy, especially for multiple fault…
Fundamental research · No laboratory or pilot wording.From arXiv · not yet reviewedDOIPDF
- Adaptive Model Compression (AMC): Saliency-Driven Resource Allocation for Ultra-Low-Power Transformer Inference
Deploying large-scale transformer models on resource-constrained edge devices remains a challenge due to the high energy and memory overhead inherent in static inference, which processes simple and complex tokens with uniform intensity. To address this, we propose Adaptive Model…
Fundamental research · No laboratory or pilot wording.From arXiv · not yet reviewedPDF
- SAFformer:Improving Spiking Transformer via Active Predictive Filtering
Spiking Neural Networks (SNNs) offer notable advantages in biological plausibility and energy efficiency, making them promising candidates for building low-power Transformers. However, existing Spiking Transformers largely adhere to a passive reactive paradigm, which struggles to…
Fundamental research · No laboratory or pilot wording.From arXiv · not yet reviewedPDF
- A Data-Aided Power Transformer Differential Protection without Inrush Blocking Module
When a slightly faulty transformer closes without load, the current waveform presents the coexistence of inrush and fault current. At this time, the inrush blocking module will block the relay, which may delay the removal of the slight fault and lead to more serious faults. To…
Fundamental research · No laboratory or pilot wording.From arXiv · not yet reviewedPDF
- A SISA-based Machine Unlearning Framework for Power Transformer Inter-Turn Short-Circuit Fault Localization
In practical data-driven applications on electrical equipment fault diagnosis, training data can be poisoned by sensor failures, which can severely degrade the performance of machine learning (ML) models. However, once the ML model has been trained, removing the influence of such…
Fundamental research · No laboratory or pilot wording.From arXiv · not yet reviewedPDF
- Sequential Operating Simulation of Solid State Transformer-Driven Next-Generation 800 VDC Data Center
Artificial-intelligence (AI) workloads are driving rapid growth in data-center electricity use and rack power density, increasing demand for power-delivery systems that are efficient and robust to fast load transients. Conventional uninterruptible power supply (UPS) based AC…
Fundamental research · No laboratory or pilot wording.From arXiv · not yet reviewedPDF
- Collaborative Research: Digital Twin Predictive Reliability Modeling of Solid-State Transformers
Solid state transformer (SST) is deemed as a revolutionary technology for future power systems. It is much more compact than the conventional electromagnetic transformer, with significant advantages of controllability both in power flow control and power quality regulation…
University of Tennessee Knoxville
Fundamental research · Research grant.From NSF awards · not yet reviewed
- High-Performance Computational Models for Optimizing Power Transformer Cooling Systems Using HPC and ANSYS Fluent
This project focuses on optimizing the cooling systems of power transformers through advanced simulations powered by High-Performance Computing (HPC) and Computational Fluid Dynamics (CFD) techniques. The goal is to develop computational models that simulate the thermal behavior…
Fundamental research · Research grant.From OpenAIRE (EU and national funders) · not yet reviewed
- CFD computation of the heat transfer and pressure loss coefficients for CORE type power transformer windings.
Power transformers are an essential (and expensive) component of the electrical energy distribution networks. The application of numerical tools is essential during the design stage of the transformer’s components – in particular, its windings – to optimize its geometry according…
Fundamental research · Research grant.From OpenAIRE (EU and national funders) · not yet reviewed
- Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Oil-Immersed Power Transformer Condition Monitoring Methodologies: A Review
A power transformer is one of the most critical and expensive assets in electric power systems. Failure of a power transformer would not only result in a downtime to the entire transmission and distribution networks but may also cause personnel and environmental hazards due to…
Curtin UniversityBHP (Australia)
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods
Fasa University of Medical SciencesFasa University
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- ASSIST - Advanced Sic based SolId State Transformer
ASSIST aims to establish a sovereign supply chain to empower the UK with a capability for higher voltage Silicon Carbide (SiC) devices at voltage and current ratings that are significantly differentiated from devices currently available on the market. The project will establish…
Fundamental research · Research grant.From OpenAIRE (EU and national funders) · not yet reviewed
- Power transformer insulation system: A review on the reactions, fault detection, challenges and future prospects
Power transformer is one of the main equipment in power transmission and distribution network. Thus, it is important to ensure optimal operation of power transformer for an efficient supply of energy to utilities. One of the main components of a power transformer is the…
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration
South China University of Technology
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties
National Taiwan University of Science and TechnologyBenha UniversityThai Nguyen UniversityThai Nguyen University of TechnologyAswan University+3 more
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI
- Smart Solid-State Transformer: Uma (R)evolução Tecnológica para um Novo Paradigma de Redes Elétricas Híbridas, Flexíveis e Sustentáveis.
Esta tese assenta no estudo e desenvolvimento de soluções de eletrónica de potência para estabelecimento de microrredes híbridas ca-cc através de smart solid-state transformers (SSST). Assim, pretende-se desenvolver uma solução que permita mitigar limitações inerentes à…
Fundamental research · Research grant.From OpenAIRE (EU and national funders) · not yet reviewed
- An Overview on Medium Voltage Grid Integration of Ultra-Fast Charging Stations: Current Status and Future Trends
The emphasis on clean and green technologies to curtail greenhouse gas emissions due to fossil fuel-based economies has originated the shift towards electric mobility. As on-road electric vehicles (EVs) have shown exponential growth over the last decade, so have the charging…
Delft University of TechnologyHuawei Technologies (China)
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOIPDF
- Identification and Application of Machine Learning Algorithms for Transformer Dissolved Gas Analysis
Power transformers represent one of the most abundant and expensive components in the electric power industry. Dissolved gas analysis (DGA) of transformer is the most widely accepted diagnostic tool across the globe to understand insulation incipient failures. Nevertheless, DGA…
Université du Québec à ChicoutimiHydro-Québec
Fundamental research · No laboratory or pilot wording.From OpenAlex · not yet reviewedDOI