2017 International Symposium on Electrical Machines (SME)最新文献_第4页

Use of axial flux in the detection of electrical faults in induction motors 轴向磁通在感应电动机电气故障检测中的应用

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993571

P. Ewert

引用次数: 21

Influence of magnet and cage shape on properties of the line start synchronous motor with powder hybrid rotor 磁体和保持架形状对粉末混合转子在线起动同步电动机性能的影响

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993556

W. Lyskawinski, C. Jędryczka, W. Szelag

引用次数: 8

Analysis of state of operation of asynchronous motor with stator slot frequency beat vibration 定子槽频振异步电动机运行状态分析

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993560

A. Biernat, P. Góralski

引用次数: 3

Induced pole permanent magnet synchronous motor 感应极永磁同步电动机

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993543

M. Gwozdziewicz, J. Zawilak

引用次数: 2

Study on 3-winding system with angular asymmetry part II - eigenvalues of inductance matrix and transformation αβ0 角不对称三绕组系统的研究第二部分——电感矩阵特征值和变换αβ0

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993579

K. Kluszczyński, M. Szczygieł

引用次数: 1

An application of machine learning approach to fault detection of a synchronous machine 机器学习方法在同步电机故障检测中的应用

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993548

J. G. Ferreira, A. Warzecha

{"title":"An application of machine learning approach to fault detection of a synchronous machine","authors":"J. G. Ferreira, A. Warzecha","doi":"10.1109/ISEM.2017.7993548","DOIUrl":"https://doi.org/10.1109/ISEM.2017.7993548","url":null,"abstract":"Accurate fault diagnosis systems should consider both the historical performance and the assessment of the current state of a machine. Manufacturing, installation, operation and maintenance are part of the machine's history and should be taken into account. The paper focuses on experimental procedures to develop a multi-criteria methodology to classify up to ten machine conditions. Using machine learning for signal processing techniques, any deviation from a normal steady state might be categorized as an abnormal behavior and, when demonstrated, a fault. To take advantage of machine learning algorithms, a significant amount of data is needed. To demonstrate the procedure the authors examined a synchronous machine. The authors recorded currents and voltages primarily, in stator and rotor winding, well as rotational speed and electromechanical torque. The collected signals were filtered and pre-processed, and to 5038 features were calculated and transformed into a tidy dataset. The sparse Linear Discriminant Analysis algorithm was used to extract the most important defined features. The results are shown in 3D scatter plots; in which each machine condition is represented. It is then possible to visualize the ability of the model to identify the most discriminant features. The same method can be used for the diagnostic of other types of machine conditions.","PeriodicalId":286682,"journal":{"name":"2017 International Symposium on Electrical Machines (SME)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132890096","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: 12

Detection of coil shorting in an induction motor by means of wavelet detectors based on orthogonal Legendre polynomials 基于正交勒让德多项式的小波检测器检测感应电机线圈短路

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993569

M. Zajac, M. Sułowicz

{"title":"Detection of coil shorting in an induction motor by means of wavelet detectors based on orthogonal Legendre polynomials","authors":"M. Zajac, M. Sułowicz","doi":"10.1109/ISEM.2017.7993569","DOIUrl":"https://doi.org/10.1109/ISEM.2017.7993569","url":null,"abstract":"This paper presents the application of narrowband detection wavelet filters, which use the Legendre orthogonal polynomial family, in the diagnostics of coil shorting in induction motors. Wavelet orthonormal bases were built with the use of the recurrent relationships generating higher-degree Legendre polynomials. For the scaling function constructed in the form of linear combination of Legendre polynomials of the selected levels, synthesis of the basic wavelet was performed - this mapped the characteristic properties of the signal carrying the information about the nature of the fault. A signal proportional to the machine axial flux was used for the analysis - this enabled the required diagnostics. On the basis of the constructed wavelet bases, the results of the analyses of the signals registered in the different states of the winding short-circuits of the stator winding of an induction motor operating under the constant load, were presented. The choice of an advanced method of analysis was dictated by the occurrence of the periodic energy flow of signals between the adjacent frequency bands which made the Fourier analyses ineffective.","PeriodicalId":286682,"journal":{"name":"2017 International Symposium on Electrical Machines (SME)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115382189","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: 1

Analysis of the multi-drive powered permanent magnet synchronous motor under drive fault conditions 多驱动驱动永磁同步电机驱动故障工况分析

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993555

C. Jędryczka, W. Szelag

引用次数: 1

The possibility of distinguishing rotor cage bar faults in double squirrel cage induction motors on the basis of the stator current signal 基于定子电流信号判别双鼠笼型异步电动机转子笼条故障的可能性

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993563

J. Tulicki, K. Weinreb, M. Sułowicz

引用次数: 8

A simple way of determining stator-to-field winding mutual inductance functions of a salient pole synchronous generator 确定凸极同步发电机定子-磁场绕组互感函数的简单方法

2017 International Symposium on Electrical Machines (SME) Pub Date : 2017-06-01 DOI: 10.1109/ISEM.2017.7993576

K. Ludwinek

引用次数: 0