Tiju Jiang;Fei Cao;Shiguang Yan;Xuefeng Chen;Haoran Bian;Hua Zhong;Genshui Wang
{"title":"Vibration Analysis of Multilayer Ceramic Capacitor Under Pulsed Electric Field and Research in Mechanism of Frequency-Sensitive Transient Breakdown","authors":"Tiju Jiang;Fei Cao;Shiguang Yan;Xuefeng Chen;Haoran Bian;Hua Zhong;Genshui Wang","doi":"10.1109/TDEI.2025.3641047","DOIUrl":"https://doi.org/10.1109/TDEI.2025.3641047","url":null,"abstract":"Multilayer ceramic capacitor (MLCC) has the potential to be extensively utilized in pulsed power systems due to its high capacitance and high dielectric strength. However, there are still some unsolvable reliability problems in realistic operations, one of which is frequency-sensitive transient breakdown: a sudden failure occurring significantly below the component’s designed expected lifespan. Some previous research suggests that transient breakdown is related to the frequency of the pulsed electric field, but lacks experimental support. In this article, a laser Doppler vibrometer (LDV) is applied for detecting the vibrational behavior of MLCC when pulsed discharge, and the result indicates that the pulsed electric field can activate MLCC to vibrate at specific frequencies and even stimulate resonant vibrations. Through both destructive and nondestructive analysis, we observed a decline in electrical breakdown strength and evidence of cracks within the MLCC subjected to transient vibrations. These findings underscore the notion that transient breakdown is a compound electromechanical failure, occurring when a pulsed electric field at a specific frequency triggers transient vibrations within MLCC. These resonant vibrations impair the electrical breakdown strength of MLCC and finally result in transient breakdown.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3566-3573"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149124521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tessa Martins de Carvalho Carneiro;Estácio Tavares Wanderley Neto;Manuel Luíz Barreira Martinez;Carlos Roberto Jorge Soares;Alvaro Antonio Alencar de Queiroz
{"title":"Sustainable Composites of Silicone Rubber and Vegetable Oil for Electrical Insulation","authors":"Tessa Martins de Carvalho Carneiro;Estácio Tavares Wanderley Neto;Manuel Luíz Barreira Martinez;Carlos Roberto Jorge Soares;Alvaro Antonio Alencar de Queiroz","doi":"10.1109/TDEI.2026.3672429","DOIUrl":"https://doi.org/10.1109/TDEI.2026.3672429","url":null,"abstract":"Silicone rubber (SiR) is widely used in electrical power systems due to its hydrophobicity and excellent mechanical and insulating properties. However, its production involves significant energy consumption. This study investigates the potential of incorporating a vegetable oil-based polymer (VOP) as a sustainable modifier for SiR, forming SiR–VOP composites. Compositions with 0–25 wt.% VOP are prepared and characterized. Thermogravimetric analysis (TGAs) indicates that VOP enhances the thermal stability of SiR. Mechanical analysis shows an increase in Young’s modulus with VOP content, which plateaus at 20 wt.%. Electrical performance is assessed through volume resistivity and tracking resistance measurements, revealing improvements up to 20 wt.% VOP. These results demonstrate that SiR–VOP composites offer tunable electrical and thermomechanical properties, providing a promising and sustainable alternative for electrical insulation applications.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3388-3395"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149124537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interfacial Moisture Accumulation Characteristics in Oil-Paper Insulation: Modeling and Experimental Investigation","authors":"Zhiyuan Sha;Tao Wen;Shilan Wang;Pangjian Fang;Yi Zhao;Weijiang Chen;Qiaogen Zhang","doi":"10.1109/TDEI.2026.3651220","DOIUrl":"https://doi.org/10.1109/TDEI.2026.3651220","url":null,"abstract":"Moisture exchange in oil-paper insulation under temperature-varying conditions exhibits significant complexity, particularly with interfacial moisture accumulation readily occurring during cooling—a phenomenon that critically compromises transformer insulation integrity, yet consensus remains elusive regarding key parameters and formation mechanisms of such accumulation under thermal cycling. To address this, a computational model for moisture diffusion and exchange in oil-paper insulation is developed. Through experimental measurements of spatiotemporal moisture distribution in oil-impregnated pressboard (OIP) and oil moisture content evolution, temperature-dependent relationships for the diffusion coefficient <inline-formula> <tex-math>$D$ </tex-math></inline-formula> and interfacial moisture exchange coefficient <inline-formula> <tex-math>$alpha $ </tex-math></inline-formula> are established. Subsequent temperature-varying experiments reveal interfacial exchange hysteresis relative to temperature changes, with hysteresis loop areas expanding with increasing temperature variation rates, temperature ranges, and initial moisture content. Integrated model-experimental analysis demonstrates that interfacial moisture exchange exhibits higher activation energy than the diffusion process, establishing it as the rate-limiting step. Furthermore, moisture accumulation fundamentally stems from coupled interfacial kinetic hysteresis induced by high activation and abrupt solubility changes, where sluggish interfacial exchange during cooling fails to match rapidly escalating oil supersaturation levels. These findings provide theoretical foundations for dynamic moisture prediction in transformer insulation systems and operational load management strategies.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3188-3197"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149124540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Di Yu;Chuantao Zheng;Fangjie Shu;Fang Song;Meng Wang;Yiding Wang;Frank K. Tittel
{"title":"A Dual-Gas Sensing System for Dissolved C2H2/CH4 in Insulating Oil Based on a Compact Multipass Gas Cell (CMPGC) and Time-Division Multiplexing Wavelength Modulation Spectroscopy (TDM-WMS)","authors":"Di Yu;Chuantao Zheng;Fangjie Shu;Fang Song;Meng Wang;Yiding Wang;Frank K. Tittel","doi":"10.1109/TDEI.2025.3641561","DOIUrl":"https://doi.org/10.1109/TDEI.2025.3641561","url":null,"abstract":"Dissolved acetylene (C<sub>2</sub>H<sub>2</sub>) and methane (CH<sub>4</sub>) in transformer insulating oil serve as critical indicator gases for diagnosing arcing faults and thermal faults, respectively. Thus, highly sensitive and simultaneous detection of these gases is of great significance for early warning of transformer faults. By integrating the principles of vacuum degassing and dissolution equilibrium and employing wavelength modulation spectroscopy (WMS) technology assisted by time-division multiplexing (TDM), a thermostatic compact multipass gas cell (CMPGC)-based dual-gas sensing system has been developed to detect dissolved C<sub>2</sub>H<sub>2</sub> and CH<sub>4</sub> in insulating oil. The designed CMPGC achieves an optical path length (OPL) of ~5.27 m within a mirror spacing (MS) of 6.13 cm, thereby mitigating gas dilution errors caused by excessive gas cell volume in conventional long-OPL sensing systems and minimizing interference arising from temperature differentials between the oil–gas separation and detection processes. Experimental results demonstrate that the sensor achieves a detection sensitivity of <inline-formula> <tex-math>$0.0442~mu $ </tex-math></inline-formula>L/L for C<sub>2</sub>H<sub>2</sub> with an averaging time of 121.2 s and <inline-formula> <tex-math>$0.158~mu $ </tex-math></inline-formula>L/L for CH<sub>4</sub> with an averaging time of 151.2 s. The maximum relative errors of both C<sub>2</sub>H<sub>2</sub> and CH<sub>4</sub> are within ±20%, meeting the Class A measurement error limits specified in the enterprise standard Q/GDW 10536-2021. The prototype’s effectiveness in detecting dissolved C<sub>2</sub>H<sub>2</sub> and CH<sub>4</sub> in transformer insulating oil is confirmed, demonstrating its applicability for early transformer fault warning.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3476-3483"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149124543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Bogarra;J. A. Ortega-Redondo;M. Moreno-Eguilaz;J. R. Riba
{"title":"Fitting of an Electric Arc Model for High-Voltage Aircraft Power Systems Using a Large-Scale Fault Dataset","authors":"S. Bogarra;J. A. Ortega-Redondo;M. Moreno-Eguilaz;J. R. Riba","doi":"10.1109/TDEI.2025.3633235","DOIUrl":"https://doi.org/10.1109/TDEI.2025.3633235","url":null,"abstract":"As aircraft replace mechanical, hydraulic, and pneumatic systems with electrical alternatives, the complexity and risks of electrical power systems increase, particularly due to unpredictable arc faults. This work addresses this challenge by obtaining Andrea’s arc model parameters for a high-voltage aircraft power systems through a large-scale experimental study. A database of the controlled tests under varying pressure and electrode spacing was used to validate the model under aeronautical conditions. The novelty of the study lies in the development of approximation functions that link the model parameters to the maximum source voltage and, for polytetrafluoroethylene (PTFE), to electrode spacing and pressure. A probabilistic validation framework further demonstrates the reliability of these generalized parameters across a wide range of conditions. Compared with Cassie and Mayr formulations, Andrea’s model provides a more compact and accurate representation, offering practical guidelines for arc detection and protection design in next-generation electric aircraft.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3627-3635"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11249442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149124603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of Zero-Value Insulators Based on Multisensor Electric Field Characteristic Analysis","authors":"Xinhan Qiao;Zhijun An;Dongdong Zhang;Haoran Meng;Xinyi Chen;Yue Ming;Jianwen Zhang;Sida Zhang","doi":"10.1109/TDEI.2026.3656863","DOIUrl":"https://doi.org/10.1109/TDEI.2026.3656863","url":null,"abstract":"500-kV ultrahigh-voltage transmission lines serve as the backbone of regional power grids. Insulators, being critical components of these lines, are prone to degradation after long-term operation, leading to the formation of zero-value insulators. In severe cases, this may result in flashovers along the external insulation, causing economic losses. This article proposes a novel method for detecting zero-value insulators, which differs from conventional approaches. By measuring the electric field strength along two symmetric paths and computing the characteristic value <inline-formula> <tex-math>$C$ </tex-math></inline-formula>(<inline-formula> <tex-math>$t$ </tex-math></inline-formula>), the presence of zero-value insulators can be effectively identified. Based on simulation results, threshold values <inline-formula> <tex-math>$varepsilon $ </tex-math></inline-formula> are determined for different detection paths along a 500-kV insulator string: 12% for paths 1 and 6, 7% for paths 2 and 5, and 4% for paths 3 and 4 (approaching the lower detection limit as closely as possible). The proposed method is efficient and straightforward, mitigating the impact of contamination and other factors on the accuracy of electric field-based detection, thereby meeting practical field application requirements. However, this study confirms the feasibility of robotic live-line detection of zero-value insulators, providing important theoretical support for such detection technologies.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3882-3890"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149124562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Laser Scattering Measurement of AC Electric Field-Induced Dynamic Characteristics of Transformer Oil-Water Interfaces","authors":"Tian Yuan;Jianwei Shao;Zhuo Wei;Qi Wang;Gang Wu;Mengyuan Wang;Yin Zhang;Xiaoqin Zhang","doi":"10.1109/TDEI.2025.3644309","DOIUrl":"https://doi.org/10.1109/TDEI.2025.3644309","url":null,"abstract":"The synergistic effect of alternating current (ac) electric fields and moisture in transformer oil causes insulation degradation, but quantitative methods for dynamic oil-water interfaces remain lacking. This research uses colloid chemistry theory modeling, molecular dynamics simulation, and laser scattering technologies to study the microstructural development of the transformer oil-water interface under an ac electric field. It establishes a quantitative relationship between the grayscale value of the Tyndall effect, electric field strength, and moisture content, as well as an analysis of the oil expansion phenomenon in high-moisture oil samples caused by high electric fields and the coupling of oil flow fluctuations and localized glow phenomenon. Simulations reveal that an ac electric field can increase the diffusion depth of the water phase and cause uneven thickening of the transition layer. Experimental results reveal that within the range of 0–6 kV, the grayscale value exhibits a linear correlation with the electric field strength. Furthermore, the higher the moisture content, the more electric field-induced scattering occurs. For the first time, the electric field-induced oil swelling lens effect is observed, where a localized glow phenomenon migrates with oil flow. The proposed nonintrusive method surpasses traditional techniques, enabling real-time monitoring of interface dynamics for transformer insulation assessment.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3093-3102"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149125516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Migration Dynamics of Cellulose Particles in Oil-Paper Insulation Under DC Voltage: Experiments and Simulations","authors":"Chen Chen;Lijun Yang;Ruijin Liao;Xueqin Yang;Zhengyu Chen;Xiang Wang;Xinxi Yu","doi":"10.1109/TDEI.2026.3657317","DOIUrl":"https://doi.org/10.1109/TDEI.2026.3657317","url":null,"abstract":"The aggregation of impurity particles is one of the main factors contributing to the degradation of transformer oil insulation performance. Investigating the migration dynamics of impurity particles in transformer oil is highly important for guiding daily maintenance and ensuring the safe operation of transformers. This study focuses on the motion and aggregation behavior of cellulose particles in transformer oil under dc voltage, establishes a simulation model for the migration dynamics of cellulose particles in oil-paper insulation, and the aggregation properties of cellulose particles under different insulation structures are computed. An experimental observation platform is constructed to monitor the aggregation behavior of cellulose particles in oil under various contamination levels, which verify the effectiveness of the proposed migration dynamics model. The results show that, under the action of dielectrophoretic force, cellulose particles aggregate in high electric field intensity regions to form high-concentration aggregates, and such aggregation occurs even when insulation barriers are introduced between electrodes. The aggregation behavior leads to a significant distortion of the electric field in the oil gap, with the local field strength increasing by more than 30% compared with that of the unaggregated state. These findings enhance the understanding of cellulose particle aggregation under dc voltage and offer new theoretical support for interpreting sudden discharge failures in transformers.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3169-3178"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149125496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qian Wang;Yong Yi;Ji Qi;Zhengyan Zhang;Lele Luo;Xianhao Fan;Chuanyang Li;Jinliang He
{"title":"Phase-Resolved Photon Counting Measurement for Surface Microdefects Detection in GIS Epoxy-Alumina Insulation","authors":"Qian Wang;Yong Yi;Ji Qi;Zhengyan Zhang;Lele Luo;Xianhao Fan;Chuanyang Li;Jinliang He","doi":"10.1109/TDEI.2026.3708541","DOIUrl":"https://doi.org/10.1109/TDEI.2026.3708541","url":null,"abstract":"The existence of microdefects in epoxy-alumina insulation poses a serious potential risk to the safe and stable operation of gas-insulated switchgear (GIS). Conventional partial discharge (PD) detection methods show limited sensitivity and vulnerability to electromagnetic interference. To address these limitations, a phase-resolved photon counting (PRPC) based photon PD detection method is proposed in this work. Samples with diverse defects are fabricated to measure their photon PD signal. Subsequently, the discharge evolution processes in these samples are analyzed under different AC voltages. The PRPC pattern is then employed to discuss their photon emission characteristics. Experimental results reveal a significant correlation between PRPC results and defect severity, demonstrating remarkable effectiveness in microdefect detection using such a pattern. This research proposes a promising approach for detecting microdefects in epoxy-alumina insulation components of GIS systems and gas-insulated transmission lines (GILs).","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3307-3314"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149125508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimized GRU and CNN Parallel Recognition Based on Spatial Electric Field Distribution of Zero-Value Insulator String","authors":"Jia Yao;Zhi Li;Jialun Wan;Mou Liang","doi":"10.1109/TDEI.2026.3656875","DOIUrl":"https://doi.org/10.1109/TDEI.2026.3656875","url":null,"abstract":"The characteristics of spatial electric field distortion are a key basis for detecting the zero-value insulator. In this article, aiming at the operating states of 110 kV insulator string under multiple working conditions, such as dry and clean, discrete water droplets, wet pollution, dry band formation, and space charge presence, the changes in the spatial electric field strength are simulated and compared. And establish a comprehensive electric field strength dataset and an axial electric field strength dataset. Then this article proposes a multimodal recognition and classification network that integrates optimized variational mode decomposition (VMD) and network structure optimization [improved zebra optimization algorithm (IZOA) + gated recurrent unit (GRU) + convolutional neural network (CNN)], which realizes accurate identification of the zero-value insulator by utilizing multidimensional electric field features. The results show that the recognition accuracy of this method can reach 94%, providing support for zero-value insulator detection based on electric field distribution under complex working conditions.","PeriodicalId":13247,"journal":{"name":"IEEE Transactions on Dielectrics and Electrical Insulation","volume":"33 5","pages":"3852-3861"},"PeriodicalIF":3.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149125540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}