IEEJ Transactions on Electrical and Electronic Engineering最新文献

Trends in Isolated Power Converters Using High-Frequency Transformers 使用高频变压器的隔离电源变换器的发展趋势

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2026-03-17 DOI: 10.1002/tee.70259

Takaharu Takeshita, Wataru Kitagawa, Kohei Budo

引用次数: 0

Intelligent Building Electrical Fault Diagnosis Based on Relevant Vector Machine Optimized by Intelligent Algorithm 基于智能算法优化的相关向量机智能楼宇电气故障诊断

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-09-27 DOI: 10.1002/tee.70179

Jiahui Li, Dongliang Gu

{"title":"Intelligent Building Electrical Fault Diagnosis Based on Relevant Vector Machine Optimized by Intelligent Algorithm","authors":"Jiahui Li, Dongliang Gu","doi":"10.1002/tee.70179","DOIUrl":"https://doi.org/10.1002/tee.70179","url":null,"abstract":"Smart buildings are developing rapidly, and electrical fault diagnosis is becoming increasingly important for the stable operation of smart buildings. To improve the accuracy and efficiency of electrical fault prediction, this study constructs a model based on an improved gray wolf optimization algorithm to optimize the relevant vector machine. A multi-core correlation vector machine model is proposed by optimizing the parameters of the correlation vector machine through an improved gray wolf optimization algorithm. The results demonstrated that the accuracy of the proposed model reached 96.8%, which was the highest improvement of 17.2% compared to the comparative model. On an imbalanced dataset, the accuracy of the research model was 96.4%, the recall was 86.4%, and the F1 value was 0.91, verifying that the model performed well in classification tasks and had strong generalization ability. At the same time, the false alarm rate of the system in practical applications was 1.3%, and the false negative rate was 2.6%, indicating that the system had strong real-time monitoring and identification capabilities for electrical faults. This study provides a theoretical basis for electrical fault diagnosis in smart buildings and reliable technical support for the stable operation of smart buildings. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"704-714"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Insulator Defect Detection Method Based on Model Parameter Migration BAAC-YOLOv11 基于模型参数迁移的绝缘子缺陷检测方法

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-21 DOI: 10.1002/tee.70180

Bo Chen, Tao Li, Zucai Xiao

{"title":"Insulator Defect Detection Method Based on Model Parameter Migration BAAC-YOLOv11","authors":"Bo Chen, Tao Li, Zucai Xiao","doi":"10.1002/tee.70180","DOIUrl":"https://doi.org/10.1002/tee.70180","url":null,"abstract":"To enhance the accuracy and operational applicability of transmission line insulator defect detection systems, this study proposes a hybrid framework integrating model parameter transfer learning with an optimized YOLOv11 architecture. First, A parameter transfer framework was engineered to mitigate cross-domain performance degradation in insulator defect detection, incorporating an adversarial domain discriminator with dual-branch architecture for simultaneous image-level texture analysis and instance-level feature alignment. This module was trained using gradient reversal layers to enforce domain-invariant feature learning while preserving discriminative defect patterns; Second, taking advantage of the advantages of YOLOv11 model being lighter and easier to deploy on resource constrained devices compared to other versions, as well as its friendly application scenario for detecting insulator defects in outdoor transmission lines, a bidirectional feature pyramid network (BiFPN) is adopted as a new multi-scale feature extraction network, and attention mechanism and anchor box clustering method are introduced to improve the YOLOv11 model and further enhance its performance. An anchor box clustering YOLOv11 algorithm based on BiFPN and Attention mechanism (BAAC-YOLOv11) was proposed. Through simulation experiments on the artificial sample generation set of insulator defects, the results show that under harsh conditions such as foggy weather, this method has good transfer recognition effect on the insulator defect detection model, verifying the effectiveness of this method. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"715-727"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147684030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification and Diagnosis of Stator Inter-Turn Short Circuit Faults Based on Current Harmonic Characteristic Analysis in Synchronous Generators 基于电流谐波特性分析的同步发电机定子匝间短路故障识别与诊断

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-01 DOI: 10.1002/tee.70168

Ming-Xing Xu, Yu-Ling He, Wen Zhang, De-Rui Dai, Yu-Song Zhang, Xiao-Liang Feng

{"title":"Identification and Diagnosis of Stator Inter-Turn Short Circuit Faults Based on Current Harmonic Characteristic Analysis in Synchronous Generators","authors":"Ming-Xing Xu, Yu-Ling He, Wen Zhang, De-Rui Dai, Yu-Song Zhang, Xiao-Liang Feng","doi":"10.1002/tee.70168","DOIUrl":"https://doi.org/10.1002/tee.70168","url":null,"abstract":"This paper presents a comprehensive study of the electromagnetic characteristic laws of synchronous generator for effective monitoring of stator inter-turn short circuit (SISC). Different from other studies, this paper not only investigates the magnetic flux density (MFD) harmonic characteristics, but also the stator currents and the circulating current inside parallel branches (CCPB) harmonic characteristics. Theoretical calculations, finite element analysis (FEA), and experimental validation were carried out on the MJF-30-6 generator. It is shown that after SISC, the MFD first harmonic amplitude decreases, and the third harmonic amplitude increases. The stator current first harmonic amplitude decreases, but the third harmonic amplitude becomes larger. In addition, when SISC occurs in only one branch or SISC asymmetrically occurs in the two parallel branches, the CCPB will generate the fundamental (first) and the third harmonic, and the harmonic amplitude will increase with the intensification of the SISC asymmetry degree. However, when SISC symmetrically occurs in both the two parallel branches, there is no CCPB, regardless of how the short circuit varies. These united characteristics can be applied to the diagnosis and online monitoring of SISC fault. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"745-754"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Hybrid Physical and Data-Driven Framework for Temperature Evaluation of Permanent Magnets in PMSMs 永磁同步电机中永磁体温度评估的混合物理和数据驱动框架

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-02 DOI: 10.1002/tee.70170

Huizhen Wang, Benchao Zhu, Yueyun Feng, Zichen Gao, Lijun Diao

{"title":"A Hybrid Physical and Data-Driven Framework for Temperature Evaluation of Permanent Magnets in PMSMs","authors":"Huizhen Wang, Benchao Zhu, Yueyun Feng, Zichen Gao, Lijun Diao","doi":"10.1002/tee.70170","DOIUrl":"https://doi.org/10.1002/tee.70170","url":null,"abstract":"To ensure the reliable operation of permanent magnet synchronous machines (PMSMs), accurate temperature evaluation and monitoring of permanent magnets (PM) are essential, as excessive heat can lead to performance degradation and irreversible damage. A hybrid physical and data-driven framework is proposed to address this challenge. The framework combines a physical model, which captures the thermal dynamics of PM, with advanced machine learning techniques. The physical model is translated into a graph structure, enabling the use of a graph attention network (GAT) to update node features and extract complex thermal interactions. A convolutional neural network (CNN) is subsequently applied for precise temperature evaluation. Experimental results validate the robustness and generalization capability of the proposed method, providing a reliable approach for assessing the thermal performance of PM in PMSMs. This work establishes a foundation for exploring temperature-dependent magnet degradation and implementing preventive measures in PMSMs. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"755-764"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Passive Islanding Detection Method for Power System Connected with Multiple Distributed Generations Using an Unscented Kalman Filter 基于无嗅卡尔曼滤波的多分布式电网无源孤岛检测方法

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-15 DOI: 10.1002/tee.70174

Nauman Ali Larik, L. L. Zhang, M. S. Li, Q. H. Wu

{"title":"A Passive Islanding Detection Method for Power System Connected with Multiple Distributed Generations Using an Unscented Kalman Filter","authors":"Nauman Ali Larik, L. L. Zhang, M. S. Li, Q. H. Wu","doi":"10.1002/tee.70174","DOIUrl":"https://doi.org/10.1002/tee.70174","url":null,"abstract":"The integration of distributed generations (DGs) powered by renewable energy sources into the power grid has attracted a lot of interest. Despite the many benefits of distributed energy resources (DER), unintentional islanding remains a severe problem that endangers working employees, causes power quality deviation, poses a risk to power utility equipment, and out-of-phase connection may arise because of rapid reclosing. This paper provides an innovative passive islanding detection approach (PIDA) formulated on an unscented Kalman filter (UKF) that is suited for numerous distributed generations. The unscented transformation (UT) overcomes the linear Kalman filter's limitation for higher-order terms in the Taylor series. The suggested approach computes selected harmonic distortion from three voltage recorded at the point of common coupling (PCC). The performance of the proposed technique is thoroughly investigated using IEEE-13 bus system simulation in MATLAB/Simulink. In addition, various non-islanding events with significant inductive load and fault conditions have been observed to test for nuisance tripping. Evaluation of the results reveals that the proposed passive method with less computation burden provides rapid detection with a negligible non-detection zone and distinguishes islanding and normal state effectively. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"647-656"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proposal of an Image Processing Method for Enhancing Robustness in Stress Coping Style Classification Using TFI 一种增强TFI应力应对方式分类鲁棒性的图像处理方法的提出

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-09-29 DOI: 10.1002/tee.70167

Kosuke Kuzuma, Tomoro Okajima, Kent Nagumo, Akio Nozawa

引用次数: 0

Data-Model-Driven Predictive Control Using Dual Event-Triggered Mechanism for Modular Multilevel Converters 基于双事件触发机制的模块化多电平变换器数据模型驱动预测控制

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-09-27 DOI: 10.1002/tee.70178

Maoxin Wang, Jinbin Zhao, Chao Pan, Ruanming Huang

{"title":"Data-Model-Driven Predictive Control Using Dual Event-Triggered Mechanism for Modular Multilevel Converters","authors":"Maoxin Wang, Jinbin Zhao, Chao Pan, Ruanming Huang","doi":"10.1002/tee.70178","DOIUrl":"https://doi.org/10.1002/tee.70178","url":null,"abstract":"This study proposes a dual event-triggered data-model hybrid-driven predictive control method to tackle model mismatch and high switching frequency (SF) challenges in model predictive control (MPC) strategies for modular multilevel converters (MMCs). First, a data-driven model is constructed using dynamic linearization (DL) techniques and updated online to compensate for system uncertainties via adaptive estimation methods. This model is then combined with the arm current model to form a hybrid-driven predictive architecture, reducing prediction errors caused by model mismatch. Next, a dual event-triggered control framework is developed by merging delay-compensated predictive values with error convergence criteria. This framework optimizes the control law to reduce the triggering frequency and maintain the controlled variables within acceptable error bounds, thereby lowering the SF. Additionally, the convergence of the tracking error under the proposed method is proven using Lyapunov stability theory. Finally, simulations and hardware-in-the-loop (HIL) experiments were conducted to validate the effectiveness of the proposed strategy. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"733-744"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proposal for a Method to Measure Tongue-Hard Palate Contact Force during Speech for Clinical Use 一种用于临床言语中舌-硬腭接触力测量方法的提出

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-07 DOI: 10.1002/tee.70182

Eri Nishi, Michihide Asuka

{"title":"Proposal for a Method to Measure Tongue-Hard Palate Contact Force during Speech for Clinical Use","authors":"Eri Nishi, Michihide Asuka","doi":"10.1002/tee.70182","DOIUrl":"https://doi.org/10.1002/tee.70182","url":null,"abstract":"This study aims to propose a practical method for measuring tongue contact force in clinical practice. To develop a novel measurement device, we analyzed nine speech tones at 23 locations on the hard palate, identifying four key locations where all speech tones could be detected. These locations were selected as the sensor points. Four laminate-covered force sensors were integrated into a sheet-like configuration and affixed directly to the hard palate using denture stabilizers. The device successfully differentiated tongue contact forces among three subjects during speech production. The center position of the tongue-hard palate contact force was calculated, revealing distinct tongue movement trajectories for the same sound across different subjects. These findings highlight inter-individual variability in tongue dynamics. The proposed method enables simple and effective evaluation of tongue force, offering potential applications in the assessment of speech disorders and the diagnosis of tongue weakness. Its ease of use and ability to capture subtle differences in tongue function suggest significant utility in clinical and therapeutic settings. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"686-692"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Prediction of Operating Temperature for Permanent Magnet Motor Used in EVs Based on Parameter Identification 基于参数辨识的电动汽车用永磁电机工作温度在线预测

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-06 DOI: 10.1002/tee.70169

Wang Yankun, Wang Xiaoyuan, Gao Peng

{"title":"Online Prediction of Operating Temperature for Permanent Magnet Motor Used in EVs Based on Parameter Identification","authors":"Wang Yankun, Wang Xiaoyuan, Gao Peng","doi":"10.1002/tee.70169","DOIUrl":"https://doi.org/10.1002/tee.70169","url":null,"abstract":"The online prediction of operating temperature in permanent magnet motor (PM motor) is crucial for preventing motor damage due to excessive heat and minimizing the risk of irreversible demagnetization of the permanent magnet (PM). In this paper, an online temperature prediction method for PM motor used in electric vehicles (EVs) has been developed in relatively high-speed operating conditions, which is based on parameter identification. First of all, utilizing the model reference adaptive system (MRAS), the feedback gain matrix and adaptive law are formulated. Preliminary designs for stator winding resistance recognizer and PM flux linkage recognizer are developed. Then, to mitigate the impact of changing operating conditions on the convergence performance of parameter recognizer, the proportional-integral (PI) gains are adjusted. The parameter estimation accuracy of the parameter recognizer is guaranteed, which lays a good foundation for realizing the accurate estimation of stator-rotor operation temperature. Finally, a stator-rotor temperature observer is constructed, leveraging the approximately linear relationship between the above two parameters and temperature. Simulation results demonstrate that the proposed method is relatively effective at relatively high speeds. Under relatively high-speed operating conditions, the stator temperature estimation error is within 2°C, while the absolute value of the rotor temperature estimation error remains within 5°C, confirming the accuracy and effectiveness of the proposed method. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"765-774"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0