2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)最新文献_第3页

Online identification of AMB rotor system dynamics using sliding DFT 基于滑动DFT的电机转子系统动力学在线辨识

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062366

Jouni Vuojolainen, N. Nevaranta, R. Jastrzebski, O. Pyrhönen

引用次数: 1

Dispersion field analysis using discrete wavelet transform for inter-turn stator fault detection in induction motors 离散小波变换色散场分析在异步电动机定子匝间故障检测中的应用

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062341

H. Cherif, A. Menacer, R. Romary, R. Pusca

引用次数: 20

Defects detection in laminated and soft magnetic composites devices with a novel thermographic method 层压和软磁复合材料器件缺陷检测的新型热成像方法

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062414

L. Ferraris, E. Pošković, F. Franchini

引用次数: 4

Electrical signature analysis based condition monitoring and diagnostics techniques for wind turbines 基于电特征分析的风力涡轮机状态监测与诊断技术

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062377

Pinjia Zhang, Delong Lu, Sam Salem

引用次数: 2

An envelope-based method with second order generalized integrator adaptive notch filter for diagnosis of rotor bar breakage at very low slips 基于二阶广义积分器自适应陷波滤波器的包络方法在极低卡瓦下诊断转子棒的断裂

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8114319

M. Malekpour, B. Phung, E. Ambikairajah

{"title":"An envelope-based method with second order generalized integrator adaptive notch filter for diagnosis of rotor bar breakage at very low slips","authors":"M. Malekpour, B. Phung, E. Ambikairajah","doi":"10.1109/DEMPED.2017.8114319","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8114319","url":null,"abstract":"Detection of rotor bar breakage in squirrel cage induction motors (SCIMs) via motor current signature analysis (MCSA) is difficult when the motor is working at very low slip operating condition. The fast Fourier transform (FFT) spectrum of the stator current signal is affected by the fundamental frequency component whose leakage masks the fault characteristic frequency. To address this problem, a new method utilizing the second order generalized integratoradaptive notch filter (SOGI-ANF) is proposed. Two signal processing layers which effectively use the SOGI-ANF are used to extract the envelope of the so-called total harmonic signal (THS) which is free from the dominant effect of the main component. The SOGI-ANF is capable of extracting both the input signal envelope and main frequency component. Analysis of the THS envelope reveals significant advantages of the SOGI-ANF over the previous envelope-based analysis techniques using Hilbert transform (HT) in terms of spectral resolution and hardware implementation using embedded devices. The theoretical development of the proposed method and its experimental verification in the laboratory are investigated in this paper. Hardware implementation of the proposed method is achieved through an STM32F4 discovery microcontroller board which makes it a powerful diagnostic tool.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117147020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

2-D magnetomechanical transient simulation of a motor with a bar breakage

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062339

V. Climente-Alarcón, A. Arkkio, J. Antonino-Daviu

引用次数: 2

Effective reactive power compensation in single-phase systems under distorted utility voltage 畸变电压下单相系统的有效无功补偿

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062386

S. Castellan, G. Buja, R. Menis

引用次数: 2

Evaluation of intelligent approaches for motor diagnosis under changing operational conditions 动态工况下运动诊断智能方法的评估

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062335

Ignacio Martin-Diaz, R. Romero-Troncoso, D. Morinigo-Sotelo, Ó. Duque-Pérez

{"title":"Evaluation of intelligent approaches for motor diagnosis under changing operational conditions","authors":"Ignacio Martin-Diaz, R. Romero-Troncoso, D. Morinigo-Sotelo, Ó. Duque-Pérez","doi":"10.1109/DEMPED.2017.8062335","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062335","url":null,"abstract":"The diagnosis of electric machines, such as induction motors, is one of the key tasks that needs to be performed to guarantee their right operation as electromechanical energy converters in most industrial facilities. The ability to reliably identify a mechanical fault occurrence in an induction motor, before it became catastrophic, can reduce risks related to the productive chain. Recently, different intelligent approaches have been proposed to develop feature-based methods for the automatic fault diagnosis in induction motors. This article provides an evaluation of different machine learning techniques for fault identification that come from different families. The datasets are formed to allow the performance analysis of the results when the classifier is trained with data obtained from some particular operational conditions, and then it is tested under different operating conditions, as it is usual in industry. The input information is obtained from current signals of an induction motor with one broken rotor bar.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130632176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Reliability-oriented design of a cost-effective active capacitor 面向可靠性的高性价比有源电容器设计

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062418

Haoran Wang, Huai Wang

引用次数: 3

Segmentation in thermography images for bearing defect analysis in induction motors 用于感应电机轴承缺陷分析的热成像图像分割

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062412

E. Resendiz-Ochoa, R. Osornio-Ríos, J. P. Benitez-Rangel, L. A. M. Hernández, R. Romero-Troncoso

引用次数: 15