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2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives最新文献

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Comparative Study of Time-Frequency Methods for the Detection and Categorization of Intermittent Faults in Electrical Drives 电力传动系统间歇故障时频检测与分类方法的比较研究
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393068
S. Sajjad, H. Zaidi, W. Zanardelli, Selin Aviyente, E. Strangas
{"title":"Comparative Study of Time-Frequency Methods for the Detection and Categorization of Intermittent Faults in Electrical Drives","authors":"S. Sajjad, H. Zaidi, W. Zanardelli, Selin Aviyente, E. Strangas","doi":"10.1109/DEMPED.2007.4393068","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393068","url":null,"abstract":"The detection of non-catastrophic faults in conjunction with other factors can be used to determine the condition and remaining life of an electric drive. As the frequency and severity of these faults increase, the working life of the drive decreases, leading to eventual failure. In this work, four methods to identify developing electrical faults are presented and compared. They are based on the short-time Fourier transform, undecimated wavelet analysis, Wigner and Choi Williams distribution of the field oriented currents in PMAC drives. The different fault types are classified by developing a linear discriminant classifier based on the transform coefficients. The comparison is based on the number of correct classifications and Fisher's discriminant ratio.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123227394","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: 7
Investigation of Current Sharing in Paralleled Winding at High Frequency Transformers 高频变压器并联绕组电流分担研究
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393139
B. Abdi, J. Milimonfared
{"title":"Investigation of Current Sharing in Paralleled Winding at High Frequency Transformers","authors":"B. Abdi, J. Milimonfared","doi":"10.1109/DEMPED.2007.4393139","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393139","url":null,"abstract":"High frequency effects and Current sharing in paralleled winding at high frequency transformers, witch are using in switch mode power supplies, will discuss in this paper. FEM method is used for simulation and shows that in ordinary paralleling winding, witch is used to decreasing of skin effect, the current is shared unbalance and for perfect paralleling of the winding, interleaved winding must be used. Also, the effect of air gap in the core on the winding current distribution will be scrutinized. And therefore, the experimental results confirm the simulation results.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123899683","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
Mathematical Model of DC Motor for Analysis of Commutation Processes 直流电机换相过程分析的数学模型
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393084
Z. Głowacz, W. Glowacz
{"title":"Mathematical Model of DC Motor for Analysis of Commutation Processes","authors":"Z. Głowacz, W. Glowacz","doi":"10.1109/DEMPED.2007.4393084","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393084","url":null,"abstract":"The mathematical model of dc motor was created. In model the commutator is approximated by circuit with variable parameters. Extremely different values are assigned to circuit parameters depending on the angular position of the rotor. Model equations were solved using implicit integration method. Commutation processes of dc motor were investigated with the aid of this model. Presented model can be extended and to take into account another phenomena occurring in dc motor.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125559221","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: 20
Beyond the diagnosis: the forecast of state system Application in an induction machine 诊断之外:状态系统预测在感应电机上的应用
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393143
O. Ondel, E. Blanco, G. Clerc
{"title":"Beyond the diagnosis: the forecast of state system Application in an induction machine","authors":"O. Ondel, E. Blanco, G. Clerc","doi":"10.1109/DEMPED.2007.4393143","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393143","url":null,"abstract":"This paper deals with the tracking and the prediction of the evolution of the system operation. The aim is to define a forecast of future operating state of the process by using the previous state. First of all, a signature is determined in order to monitor the evolution of different operating modes. For this purpose, on the example of an induction machine, diagnostic features are extracted from current and voltage measurements without any other sensors. Then, a feature selection method is applied in order to select the most relevant features which define the representation space. A polynomial approach of tracking evolution is presented. Next, a Kalman algorithm is developed to predict evolution and to allow pre-empting on the appearance of a fault and the accelerated ageing of system. Finally these two approaches are applied and compared with an induction machine of 5.5 kW with squirrel-cage.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128621008","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: 7
Application of Fuzzy Inference System for Cage Induction Motors Rotor Eccentricity Diagnostic 模糊推理系统在笼形感应电动机转子偏心诊断中的应用
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393078
M. Sułowicz, T. Sobczyk
{"title":"Application of Fuzzy Inference System for Cage Induction Motors Rotor Eccentricity Diagnostic","authors":"M. Sułowicz, T. Sobczyk","doi":"10.1109/DEMPED.2007.4393078","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393078","url":null,"abstract":"This paper presents a diagnostic method of the eccentricity of the rotor of the cage induction motor, using a diagnostic inference block, based on ANFIS (adaptive-network-based fuzzy inference system). A construction and principle of work of the diagnostic inference block for a selected induction motor will be provided, in order to assess the eccentricity of the rotor. The input data for the proposed diagnostic inference block will consist of the values of two eccentricity indicators, representing the static and the dynamic eccentricity. The indicators are set for every motor on the basis of the solution of multi-harmonics mathematical model of the cage induction motor. The proposed system will assess relative eccentricity levels. At the output of the system, information regarding the sum of the relative eccentricity levels (both static and dynamic) will be available. Examples of the eccentricity diagnosis supplied by the developed diagnostic inference block are interpreted with regard to the diagnosis correctness and accuracy.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"690 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127499212","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
Intelligent Diagnosis of Broken Bars in Induction Motors Based on New Features in Vibration Spectrum 基于振动谱新特征的感应电机断条智能诊断
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393079
A. Sadoughi, M. Ebrahimi, M. Moalem, S. Sadri
{"title":"Intelligent Diagnosis of Broken Bars in Induction Motors Based on New Features in Vibration Spectrum","authors":"A. Sadoughi, M. Ebrahimi, M. Moalem, S. Sadri","doi":"10.1109/DEMPED.2007.4393079","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393079","url":null,"abstract":"This paper presents an intelligent method for diagnosing broken bars in induction motors. The method is based on training a neural network using new features extracted from vibration spectrum. These fault related features depend on slip. The exact value of slip can be determined using vibration spectrum; therefore, a vibration sensor is the only required sensor. The method has been able to diagnose correctly in all the laboratory tests.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126934591","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: 34
Practical Approach to Condition Monitoring of MV Drives 中压变频器状态监测的实用方法
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393142
M. Wnek, J. Nowak, M. Orkisz, B. Kosiba, S. Legnani
{"title":"Practical Approach to Condition Monitoring of MV Drives","authors":"M. Wnek, J. Nowak, M. Orkisz, B. Kosiba, S. Legnani","doi":"10.1109/DEMPED.2007.4393142","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393142","url":null,"abstract":"In modern plants one encounters a combination of very intelligent assets, traditional simple but critical assets, as well as access to process control and automation system. All existing information should be combined in order to optimize life cycle management of assets and thus to reduce maintenance costs and improve process/asset performance. This need determines some basic features of modern condition monitoring systems. Large drives are frequently used to power critical equipment, thus maintaining them in good running order is essential. In the process of performing their control function, drives collect and produce large quantity of data, which can be used in condition monitoring context.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126269381","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
Severity Assessment of Rotor Faults in Closed Loop Induction Drives by Different Approaches 基于不同方法的闭环感应驱动转子故障严重程度评估
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393113
C. Concari, G. Franceschini, E. Lorenzani, A. Toscani
{"title":"Severity Assessment of Rotor Faults in Closed Loop Induction Drives by Different Approaches","authors":"C. Concari, G. Franceschini, E. Lorenzani, A. Toscani","doi":"10.1109/DEMPED.2007.4393113","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393113","url":null,"abstract":"In this paper different procedures are validated to diagnose and assess the severity degree of rotor faults in closed loop controlled induction machines. The possible diagnostic indexes are investigated through spectral analysis of manipulated and controlled variables. Common control schemes have been considered to evaluate the diagnostic robustness towards operating condition and regulator parameters. Voltage injection was considered as well as a possible tool for diagnostics by analyzing the amplitude of spectral lines arising in motor input current spectrum. Experimental results guide the selection of suitable analytical models for the faulty machine. The experiments are obtained with a DSP based current controlled voltage source inverter (CCVSI) supplying a 1.5 kW induction machine in which three different rotors differing in asymmetry degree were used.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130216563","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: 7
Incipient Bearing Fault Detection via Stator Current Noise Cancellation using Wiener Filter 基于维纳滤波的定子电流降噪轴承早期故障检测
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393064
Wei Zhou, T. Habetler, R. Harley, B. Lu
{"title":"Incipient Bearing Fault Detection via Stator Current Noise Cancellation using Wiener Filter","authors":"Wei Zhou, T. Habetler, R. Harley, B. Lu","doi":"10.1109/DEMPED.2007.4393064","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393064","url":null,"abstract":"Current-based monitoring can offer significant economic savings and implementation advantages over traditional vibration monitoring for bearing fault detection. A key issue in current-based bearing fault detection is to extract bearing fault signature from motor stator current. In this paper bearing fault signature in motor stator current is detected by estimating and removing non-bearing fault components via a noise cancellation method. In this method, the components of the stator current that are not related to bearing faults are regarded as noise and are estimated by a Wiener filter. These noise components are then cancelled by their estimates in a real time fashion and a fault indicator is established based on the remaining components that are related to bearing faults. Machine parameters, bearing dimensions, nameplate values, or stator current spectrum distributions are not required in the method. The results of on-line experiments with a 20-horsepower induction motor have verified the effectiveness of this method.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122350106","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: 24
Partial Discharge Diagnosis of Generator Insulation Systems - Measurements, Simulations and Picture Recognition 发电机绝缘系统局部放电诊断-测量，模拟和图像识别
2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI: 10.1109/DEMPED.2007.4393140
G. Pascoli, W. Hribernik, G. Ujvari, B. Fruth
{"title":"Partial Discharge Diagnosis of Generator Insulation Systems - Measurements, Simulations and Picture Recognition","authors":"G. Pascoli, W. Hribernik, G. Ujvari, B. Fruth","doi":"10.1109/DEMPED.2007.4393140","DOIUrl":"https://doi.org/10.1109/DEMPED.2007.4393140","url":null,"abstract":"PD patterns indicate faults in the mica insulation of the stator windings of high voltage synchronous turbo generators. The common used method for PD measurement on electrical machines is the phase resolved partial discharge pattern (PRPDP) Method. Usually these patterns can only be interpreted by experienced test engineers. A computer program has been developed which is capable of interpreting these PD pattern in a qualitative manner. The presented diagnostic routine is focused on insulation faults of turbo generators which are classified according to an international standard. For system verification several generators with different age, from different manufacturers where investigated. Both measurement results under regular operation condition (online diagnosis) and diagnoses with external power supply (offline diagnosis) were evaluated. Additionally simulations models for the discharge processes have been developed. A network-type model simulates discharges in voids of different geometry. The parameters are calculated with a finite element model of a discharge process in an insulator void.","PeriodicalId":185737,"journal":{"name":"2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122701545","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: 6
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