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

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Recursive parameter estimation of a mechanical system in frequency domain 机械系统频域参数的递推估计
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062344
N. Nevaranta, J. Montonen, T. Lindh, M. Niemelä, Olli Pyrhoonen
{"title":"Recursive parameter estimation of a mechanical system in frequency domain","authors":"N. Nevaranta, J. Montonen, T. Lindh, M. Niemelä, Olli Pyrhoonen","doi":"10.1109/DEMPED.2017.8062344","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062344","url":null,"abstract":"Frequency-domain identification and parameter estimation methods are well established and commonly applied for commissioning and diagnostics purposes in electric drives. In this paper, the feasibility of a recursive least squares parameter estimation algorithm from frequency-domain observations is studied. The identification problem is treated from two different perspectives: first, by estimating a discrete autoregressive model with exogenous terms (ARX) from the discrete Fourier transforms (DFTs) of the input-output signals obtained from the identification experiment and second, a nonparametric model that is fitted in terms of least squares regression. Both proposed identification approaches are studied by simulations and experimentally validated by a closed-loop-controlled servomechanism.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"35 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":"122673564","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
Induction motor bearings diagnostic indicators based on MCSA and normalized triple covariance 基于MCSA和归一化三重协方差的感应电机轴承诊断指标
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062401
T. Ciszewski
{"title":"Induction motor bearings diagnostic indicators based on MCSA and normalized triple covariance","authors":"T. Ciszewski","doi":"10.1109/DEMPED.2017.8062401","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062401","url":null,"abstract":"Induction motors are one of the most widely used electrical machines. Statistics of bearing failures of induction motors indicate, that they constitute more than 40% of induction motor damage. Therefore, bearing diagnosis is so important for trouble-free work of induction motors. The most common methods of bearing diagnosis are based on vibration signal analysis. The main disadvantage of those methods is the need for physical access to the diagnosed machine, which is not always possible. Methods based on motor current signature analysis are free of this disadvantage. Preliminary studies have shown that motor current signature analysis based normalized triple covariance is a very good diagnostic indicator for induction motor bearings. This paper presents an attempt to find a more accurate diagnostic indicator based on normalized triple covariance. In this paper the author verifies how many diagnostic features (normalized triple covariances) included in diagnostic indicator can give better separation between healthy and unhealthy cases.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"81 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":"126404990","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: 5
Time domain diagnosis of multiple faults in three phase induction motors using inteligent approaches 基于智能方法的三相异步电动机多故障时域诊断
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062338
R. H. Palácios, W. Godoy, A. Goedtel, I. D. da Silva, D. Morinigo-Sotelo, Ó. Duque-Pérez
{"title":"Time domain diagnosis of multiple faults in three phase induction motors using inteligent approaches","authors":"R. H. Palácios, W. Godoy, A. Goedtel, I. D. da Silva, D. Morinigo-Sotelo, Ó. Duque-Pérez","doi":"10.1109/DEMPED.2017.8062338","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062338","url":null,"abstract":"The three-phase induction motor is one of the most employed equipment in industrial premisses. Despite of its reliability and robustness, these machines can present faults due to the operation time, harsh operating conditions, voltage unbalance, among other factors. In this work, a methodology for intelligent diagnose of multiple faults in induction motors by using a discretization of currents and voltages amplitudes signals in the time domain is proposed. Three types of intelligent classifiers are employed to proper diagnose motor faults: artificial neural network type multilayer perceptron (ANN/MLP), algorithm k-nearest neighbour (k-NN) and support vector machine with sequential minimal optimization (SVM/SMO). The investigated faults are related to stator short-circuit, broken rotor bars and bearing defects. Experimental results are obtained with data gathered from a 1 hp motor under varied load and unbalanced voltage conditions. The MLP and k-NN classifiers are highlighted with accuracy above 89%.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"36 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":"116650352","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: 8
Spectral current analysis for high power turbo-generators at internal asymmetry of windings 大功率汽轮发电机绕组内部不对称时的频谱电流分析
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062392
Kamil Grzybacz, Konrad Łatak, T. Sobczyk
{"title":"Spectral current analysis for high power turbo-generators at internal asymmetry of windings","authors":"Kamil Grzybacz, Konrad Łatak, T. Sobczyk","doi":"10.1109/DEMPED.2017.8062392","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062392","url":null,"abstract":"The paper presents a mathematical model of high power turbo-generator, which allows to consider an arbitrary asymmetry of stator and field windings. In the model, individual one-turn stator coils and coils of the field winding located in common slot are represented. Full spectra of coil's MMF are considered, however dumping windings are omitted. An arbitrary connections of those elementary coils are modelled by the constrain matrix technique. Resulting model equations are arranged by introducing the symmetrical components of stator currents and voltages. Spectral analysis of currents has been done by the harmonic balance method. Exemplary spectra of currents have been calculated and presented for chosen cases of short circuited elementary stator and field coils. The characteristic features of these spectra have been discussed from diagnostics point of view. Calculations in this paper have been done for approximated design data of turbo-generator, so results have only qualitative character.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"29 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":"131055312","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
Turn-to-turn fault protection technique for synchronous machines without additional voltage transformers 无附加电压互感器的同步电机匝间故障保护技术
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062343
M. Redondo, C. Platero, Konstantinos N. Gyftakis
{"title":"Turn-to-turn fault protection technique for synchronous machines without additional voltage transformers","authors":"M. Redondo, C. Platero, Konstantinos N. Gyftakis","doi":"10.1109/DEMPED.2017.8062343","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062343","url":null,"abstract":"This paper presents a novel protection technique for the detection of inter-turn faults in synchronous machines. It is based on the calculation of voltage in the stator windings from the usual phases and neutral voltage, typically available in all generator protection relays. The existing turn-to-turn protection mechanisms require additional voltage transformers. The main contribution of this technique is that it can be implemented without using any additional voltage transformers. This technique has been successfully tested in a special synchronous machine with taps in the stator windings, where turn-to-turn faults have been created.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"27 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":"128232764","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: 5
Demagnetization faults detection in an axial flux permanent magnet synchronous generator 轴向磁通永磁同步发电机退磁故障检测
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062349
A. C. Barmpatza, J. Kappatou
{"title":"Demagnetization faults detection in an axial flux permanent magnet synchronous generator","authors":"A. C. Barmpatza, J. Kappatou","doi":"10.1109/DEMPED.2017.8062349","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062349","url":null,"abstract":"In this paper the demagnetization faults that occur in a axial flux permanent magnet (AFPM) synchronous machine using 3D finite element method (FEM) are studied. Two different generator topologies, a single rotor and a double rotor coreless topology, are simulated. The harmonic components of the spectrum of the back-emf and the stator current waveforms are calculated and the fault indicator harmonics are extracted and discussed.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"12 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":"126868544","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: 8
Local damage detection method based on distribution distances applied to time-frequency map of vibration signal 将基于分布距离的局部损伤检测方法应用于振动信号的时频图
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062346
Grzegorz Żak, A. Wyłomańska, R. Zimroz
{"title":"Local damage detection method based on distribution distances applied to time-frequency map of vibration signal","authors":"Grzegorz Żak, A. Wyłomańska, R. Zimroz","doi":"10.1109/DEMPED.2017.8062346","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062346","url":null,"abstract":"In this paper authors introduce a novel procedure for the local damage detection based on the distribution distances and time-frequency decomposition. Local damage in bearings/gearbox provides specific response in the vibration signal. It can be further investigated via time-frequency decomposition where one can track energy distribution change in time. Applying distribution distances to STFT matrix of the vibration signal one can find deviation of subsequent samples from one used as a referential. Combined with appropriate thresholding criterion for the matrix, results can be further enhanced to provide more meaningful information. Analysed real signals were acquired from the belt conveyor driving unit in the mining facility.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"25 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":"129188318","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: 11
Review of fault modeling methods for permanent magnet synchronous motors and their comparison 永磁同步电动机故障建模方法综述及比较
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062347
A. Usman, B. Joshi, B. Rajpurohit
{"title":"Review of fault modeling methods for permanent magnet synchronous motors and their comparison","authors":"A. Usman, B. Joshi, B. Rajpurohit","doi":"10.1109/DEMPED.2017.8062347","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062347","url":null,"abstract":"Modeling of Permanent Magnet Synchronous Motors (PMSM) is required for the mathematical representation of the machine in order to analyze the behaviour of the machine under different operating conditions. This paper gives a detailed study of various fault modeling methods of PMSMs and their comparison in terms of accuracy and computational time. Based on a thorough review, the fault modeling methods are classified into Electrical Equivalent Circuit (EEC) based methods, Magnetic Equivalent Circuit (MEC) based methods and Numerical Methods (NMs). This paper describes an in-depth study and analysis for each of the modeling methods and further summarizes them into a comparative study. It also draws an inference about methods which are preferable for different types of faults.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"77 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":"127817902","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: 35
Application of pseudo-cooling boundary conditions combined with electromagnetic and thermal weak coupling for the analysis of highly integrated aerospace actuators 结合电磁和热弱耦合的伪冷却边界条件在高集成航空航天作动器分析中的应用
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062355
T. D. Kefalas, A. Kladas
{"title":"Application of pseudo-cooling boundary conditions combined with electromagnetic and thermal weak coupling for the analysis of highly integrated aerospace actuators","authors":"T. D. Kefalas, A. Kladas","doi":"10.1109/DEMPED.2017.8062355","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062355","url":null,"abstract":"Two original numerical techniques are presented for the finite-element (FE) unsteady analysis of permanent magnet synchronous motors (PMSM) and induction motors (IM) operating in demanding aerospace applications. The first technique is the electromagnetic and thermal analysis weak coupling using a multi-slice FE model. The advantage of this technique is the representation of complex actuator geometries including skewed magnets, by using a low computational cost 2-D model while taking into consideration temperature dependent material attributes. The second technique deals with the application of pseudo-cooling boundary conditions for the emulation of the cooling housing of actuators. Those boundary conditions are applied at the outer areas of the actuators in contact with the housing and eliminate the need of modeling complex 3-D geometries of highly integrated actuator housings.","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":"134438620","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: 0
Suppressing white noise in PD signal based on wavelet entropy and improved threshold function 基于小波熵和改进阈值函数的PD信号白噪声抑制
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062397
Lu Guojun, Wang Yong, Luan Le, G. Shaofeng, Niu Haiqing, W. Xuemei
{"title":"Suppressing white noise in PD signal based on wavelet entropy and improved threshold function","authors":"Lu Guojun, Wang Yong, Luan Le, G. Shaofeng, Niu Haiqing, W. Xuemei","doi":"10.1109/DEMPED.2017.8062397","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062397","url":null,"abstract":"Aiming at the shortcomings of traditional hard threshold method and soft threshold method, this paper puts forward a wavelet de-noising method based on wavelet entropy and improved threshold function. First, the noisy partial discharge (PD) signals are processed by wavelet decomposition, then the wavelet coefficients are processed by a new improved threshold function using adaptive selection of threshold based on wavelet entropy, finally the denoised signal can be got by reconstruction. The de-noising results of typical simulative signals and the field signals reveal that this present method can remove white noise effectively.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"72 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":"129944158","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
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