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Chinese Journal of Electrical Engineering最新文献

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Stator Fault Diagnosis of Induction Motor Based on Discrete Wavelet Analysis and Neural Network Technique 基于离散小波分析和神经网络技术的异步电动机定子故障诊断
Chinese Journal of Electrical Engineering Pub Date : 2023-03-01 DOI: 10.23919/CJEE.2023.000003
Abdelelah Almounajjed;Ashwin Kumar Sahoo;Mani Kant Kumar;Sanjeet Kumar Subudhi
{"title":"Stator Fault Diagnosis of Induction Motor Based on Discrete Wavelet Analysis and Neural Network Technique","authors":"Abdelelah Almounajjed;Ashwin Kumar Sahoo;Mani Kant Kumar;Sanjeet Kumar Subudhi","doi":"10.23919/CJEE.2023.000003","DOIUrl":"10.23919/CJEE.2023.000003","url":null,"abstract":"A novel approach by introducing a statistical parameter to estimate the severity of incipient stator inter-turn short circuit (ITSC) faults in induction motors (IMs) is proposed. Determining the incipient ITSC fault and its severity is challenging for several reasons. The stator currents in the healthy and faulty cases are highly similar during the primary stage of the fault. Moreover, the conventional statistical parameters resulting from the analysis of fault signals do not consistently show a systematic variation with respect to the increase in fault intensity. The objective of this study is the early detection of incipient ITSC faults. Furthermore, it aims to determine the percentage of shorted turns in the faulty phase, which acts as an indicator for severe damage to the stator winding. Modeling of the motor in healthy and defective cases is performed using the Clarke Concordia transform. A discrete wavelet transform is applied to the motor currents using a Daubechies-8 wavelet. The statistical parameters \u0000<tex>$L_{1}$</tex>\u0000 and \u0000<tex>$L_{2}$</tex>\u0000 norms are computed for the detailed coefficients. These parameters are obtained under a variety of loads and defects to acquire the most accurate and generalized features related to the fault. Combining \u0000<tex>$L_{1}$</tex>\u0000 and \u0000<tex>$L_{2}$</tex>\u0000 norms creates a novel statistical parameter with notable characteristics to achieve the research aim. An artificial neural network-based back propagation algorithm is employed as a classifier to implement the classification process. The classifier output defines the percentage of defective turns with a high level of accuracy. The competency of the adopted methodology is validated via simulations and experiments. The results confirm the merits of the proposed method, with a classification test correctness of 95.29%.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 1","pages":"142-157"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10093776/10093781.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46647461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Time-domain Dynamic-performance-improvement Method for Pulse-width-modulated DC-DC Converters Based on Eigenvalue and Eigenvector Sensitivity 基于特征值和特征向量灵敏度的脉宽调制DC-DC变换器时域动态性能改进方法
Chinese Journal of Electrical Engineering Pub Date : 2023-03-01 DOI: 10.23919/CJEE.2023.000017
Hong Li;Zexi Zhou;Jinchang Pan;Qian Liu
{"title":"Time-domain Dynamic-performance-improvement Method for Pulse-width-modulated DC-DC Converters Based on Eigenvalue and Eigenvector Sensitivity","authors":"Hong Li;Zexi Zhou;Jinchang Pan;Qian Liu","doi":"10.23919/CJEE.2023.000017","DOIUrl":"10.23919/CJEE.2023.000017","url":null,"abstract":"For pulse-width modulated (PWM) DC-DC converters, the input voltage fluctuation and load variation in practical applications make it necessary for them to have better dynamic performance to meet the regulation requirements of the system. The dynamic-performance-improvement method for PWM DC-DC converters is mainly based on indirect dynamic performance indices, such as the gain margin and phase margin. However, both settling time and overshoot in the time domain are important in practical engineering. This makes it difficult for designers to obtain a clear understanding of the time-domain dynamic performance that can be achieved with improved control. In this study, a direct analysis of the time-domain dynamic characteristic of PWM DC-DC converters is performed. A dynamic-performance-improvement method based on eigenvalues and eigenvector sensitivity (E\u0000<sup>2</sup>\u0000S-based DPIM) is proposed to directly improve the time-domain dynamic performance index of PWM DC-DC converters. By considering a boost converter with proportional-integral control as an example, an additional virtual inductor current feedback control was designed using the proposed dynamic-performance-improvement method. Simulation and experimental results verify the validity and accuracy of the proposed dynamic-performance-improvement method.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 1","pages":"104-119"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10093776/10093782.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42492068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Review on the Coupled Method of Using the Magnetic and Acoustic Fields for Biological Tissue Imaging 生物组织成像的磁声场耦合方法综述
Chinese Journal of Electrical Engineering Pub Date : 2023-03-01 DOI: 10.23919/CJEE.2023.000014
Yuanyuan Li;Guoqiang Liu
{"title":"A Review on the Coupled Method of Using the Magnetic and Acoustic Fields for Biological Tissue Imaging","authors":"Yuanyuan Li;Guoqiang Liu","doi":"10.23919/CJEE.2023.000014","DOIUrl":"10.23919/CJEE.2023.000014","url":null,"abstract":"Magnetic field and acoustic field coupled imaging methods mainly include magnetoacoustic tomography, magneto-acousto-electrical tomography, and thermoacoustic tomography, all of which non-invasively achieve the electrical conductivity imaging of tissues with a resolution of up to the millimeter scale. The principles of these three imaging methods and the research progress in the last two decades are reviewed. First, the principles of the three magnetic and acoustic field coupled methods are individually introduced. The progress in medical electromagnetic imaging is further elaborated, and finally the future directions and summary of the coupled imaging methods are summarized.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 1","pages":"47-60"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10093776/10093786.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43959018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Abnormal State Detection of OLTC Based on Improved Fuzzy C-means Clustering 基于改进模糊c均值聚类的OLTC异常状态检测
Chinese Journal of Electrical Engineering Pub Date : 2023-03-01 DOI: 10.23919/CJEE.2023.000002
Hongwei Li;Lilong Dou;Shuaibing Li;Yongqiang Kang;Xingzu Yang;Haiying Dong
{"title":"Abnormal State Detection of OLTC Based on Improved Fuzzy C-means Clustering","authors":"Hongwei Li;Lilong Dou;Shuaibing Li;Yongqiang Kang;Xingzu Yang;Haiying Dong","doi":"10.23919/CJEE.2023.000002","DOIUrl":"10.23919/CJEE.2023.000002","url":null,"abstract":"An accurate extraction of vibration signal characteristics of an on-load tap changer (OLTC) during contact switching can effectively help detect its abnormal state. Therefore, an improved fuzzy C-means clustering method for abnormal state detection of the OLTC contact is proposed. First, the wavelet packet and singular spectrum analysis are used to denoise the vibration signal generated by the moving and static contacts of the OLTC. Then, the Hilbert-Huang transform that is optimized by the ensemble empirical mode decomposition (EEMD) is used to decompose the vibration signal and extract the boundary spectrum features. Finally, the gray wolf algorithm-based fuzzy C-means clustering is used to denoise the signal and determine the abnormal states of the OLTC contact. An analysis of the experimental data shows that the proposed secondary denoising method has a better denoising effect compared to the single denoising method. The EEMD can improve the modal aliasing effect, and the improved fuzzy C-means clustering can effectively identify the abnormal state of the OLTC contacts. The analysis results of field measured data further verify the effectiveness of the proposed method and provide a reference for the abnormal state detection of the OLTC.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 1","pages":"129-141"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10093776/10093778.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45920661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vibration and Noise Optimization of New Asymmetric Modular PMaSynRM 新型非对称模块化PMaSynRM的振动与噪声优化
Chinese Journal of Electrical Engineering Pub Date : 2023-01-01 DOI: 10.23919/CJEE.2023.000006
Guohai Liu;Akang Gao;Qian Chen;Yanxin Mao;Gaohong Xu
{"title":"Vibration and Noise Optimization of New Asymmetric Modular PMaSynRM","authors":"Guohai Liu;Akang Gao;Qian Chen;Yanxin Mao;Gaohong Xu","doi":"10.23919/CJEE.2023.000006","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000006","url":null,"abstract":"","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10173479/10103785.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49982769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multi-Scale Smart Fault Diagnosis Model Based on Waveform Length and Autoregressive Analysis for PV System Maintenance Strategies 基于波形长度和自回归分析的光伏系统多尺度智能故障诊断模型
Chinese Journal of Electrical Engineering Pub Date : 2023-01-01 DOI: 10.23919/CJEE.2023.000023
Siti Nor Azlina M. Ghazali;Muhamad Zahim Sujod;Mohd Shawal Jadin
{"title":"A Multi-Scale Smart Fault Diagnosis Model Based on Waveform Length and Autoregressive Analysis for PV System Maintenance Strategies","authors":"Siti Nor Azlina M. Ghazali;Muhamad Zahim Sujod;Mohd Shawal Jadin","doi":"10.23919/CJEE.2023.000023","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000023","url":null,"abstract":"","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10272329/10186256.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49939873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal Design of Transmission Characteristics for Hexagonal Coil Wireless Power Transfer System Based on Genetic Algorithm 基于遗传算法的六角形线圈无线输电系统传输特性优化设计
Chinese Journal of Electrical Engineering Pub Date : 2023-01-01 DOI: 10.23919/CJEE.2023.000013
Ping'an Tan;Bin Song;Xu Shangguan;Huadong Liu
{"title":"Optimal Design of Transmission Characteristics for Hexagonal Coil Wireless Power Transfer System Based on Genetic Algorithm","authors":"Ping'an Tan;Bin Song;Xu Shangguan;Huadong Liu","doi":"10.23919/CJEE.2023.000013","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000013","url":null,"abstract":"","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10173479/10103786.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49942140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bearing Fault Numerical Model for the Closed-slot Rotor Submersible Motor 闭槽转子潜水电机轴承故障数值模型
Chinese Journal of Electrical Engineering Pub Date : 2023-01-01 DOI: 10.23919/CJEE.2023.000010
Zhe Ke;Bokai Guan;Chong Di;Jingwen Yan;Xiaohua Bao
{"title":"Bearing Fault Numerical Model for the Closed-slot Rotor Submersible Motor","authors":"Zhe Ke;Bokai Guan;Chong Di;Jingwen Yan;Xiaohua Bao","doi":"10.23919/CJEE.2023.000010","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000010","url":null,"abstract":"","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10173479/10103807.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49942139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design to Improve Thrust Force Performance of Dual-side Primary Permanent-magnet Vernier Linear Motor 提高双面一次永磁游标直线电机推力性能的设计
Chinese Journal of Electrical Engineering Pub Date : 2023-01-01 DOI: 10.23919/CJEE.2023.000005
Jinghua Ji;Xuhui Zhu;Hongyu Tang;Liang Xu;Wenxiang Zhao
{"title":"Design to Improve Thrust Force Performance of Dual-side Primary Permanent-magnet Vernier Linear Motor","authors":"Jinghua Ji;Xuhui Zhu;Hongyu Tang;Liang Xu;Wenxiang Zhao","doi":"10.23919/CJEE.2023.000005","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000005","url":null,"abstract":"","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10173479/10103784.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49941473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental Study on the Effect of State of Charge on Failure Propagation Characteristics within Battery Modules 充电状态对电池模块失效传播特性影响的实验研究
Chinese Journal of Electrical Engineering Pub Date : 2023-01-01 DOI: 10.23919/CJEE.2023.000007
Kuijie Li;Yalun Li;Xinyu Rui;Yuancheng Cao;Liyun Fan;Xuning Feng
{"title":"Experimental Study on the Effect of State of Charge on Failure Propagation Characteristics within Battery Modules","authors":"Kuijie Li;Yalun Li;Xinyu Rui;Yuancheng Cao;Liyun Fan;Xuning Feng","doi":"10.23919/CJEE.2023.000007","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000007","url":null,"abstract":"","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"9 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10272329/10103808.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49939876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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