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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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Fault tolerant design of fractional slot concentrated winding PM motor for electric traction 电力牵引用分槽集中绕组永磁电机容错设计
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062353
Iris Eirini K. Koukouvini, C. Krasopoulos, A. Kladas
{"title":"Fault tolerant design of fractional slot concentrated winding PM motor for electric traction","authors":"Iris Eirini K. Koukouvini, C. Krasopoulos, A. Kladas","doi":"10.1109/DEMPED.2017.8062353","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062353","url":null,"abstract":"This paper deals with the fault tolerant design of an in-wheel 300 W, 350 rpm Surface Mounted Permanent Magnet Synchronous Motor (PMSM) with Fractional-Slot Concentrated Windings (FSCW) for actuator applications. Initially, a preliminary design is conducted with the use of analytical equations taking into account the configuration fault tolerance capability. In a second step, sensitivity analysis is conducted for a wide range of dimension variables and selection of the most advantageous design is accomplished through a composite cost function involving performance and fault tolerance criteria. The proposed geometry is constructed and a good agreement is observed between the simulation and experimental results. To enable fault tolerant operation, a double inverter driving scheme is proposed. The motor characteristics under healthy and faulty operation are also examined and compared.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"135 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":"117328951","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
Infrared thermography-based automatic assessment of control components for electric machines 基于红外热像仪的电机控制元件自动评定
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062413
María Herrera-Arellano, I. Terol-Villalobos, Luis. A. Morales-Hemandez, M. Valtierra-Rodríguez
{"title":"Infrared thermography-based automatic assessment of control components for electric machines","authors":"María Herrera-Arellano, I. Terol-Villalobos, Luis. A. Morales-Hemandez, M. Valtierra-Rodríguez","doi":"10.1109/DEMPED.2017.8062413","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062413","url":null,"abstract":"Infrared thermography technology has become an important tool for condition monitoring of both electrical machines and electrical equipment in industry. In general, motors have received special attention as they are present in almost any industrial process. In regard to this subject many works for condition assessment focused on either the motor itself or the electrical components that control it have been published in literature. Despite obtaining promising results, some issues still remain; for instance, the need of an expert user for thermal images interpretation or, if commercial equipment is used, the limited integration of tasks different from those they are designed for. In this work, a novel methodology based on infrared thermography and image processing for automatic assessment of control components for electrical machines is presented. The proposed methodology is implemented in a low-cost open-architecture platform, which is also developed by the authors. In general, the proposal consists of a segmentation based on thresholding and mathematical morphology methods of the region of interest, i.e., the area with overheating. The electrical components considered are fuse cabinets, circuit breakers, and electric switches. The temperature variations used for thermal condition assessment follow the maintenance specifications stated in the International Electrical Testing Association. Results demonstrate the effectiveness and usefulness of this proposal.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"41 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":"115105234","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
Combustion problem identification based on electric power output oscillation assessment for Diesel-Engine driven generators 基于电力输出振荡评估的柴油机发电机燃烧问题识别
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062395
F. Nieto, F. Blázquez, C. Platero, A. J. Casado
{"title":"Combustion problem identification based on electric power output oscillation assessment for Diesel-Engine driven generators","authors":"F. Nieto, F. Blázquez, C. Platero, A. J. Casado","doi":"10.1109/DEMPED.2017.8062395","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062395","url":null,"abstract":"One of the most critical situations in the operation of medium and low speed synchronous generators appears when they are subjected to torque imbalances. This could be the case of internal combustion engines driven generators. In these engines, torque has a periodic oscillation due to variations in the combustion process and pressure development between cylinders. Consequently, a fuel excess or a fuel deficiency in a cylinder produces an imbalance in the torque oscillation. So the detection of combustion failures is very important in order to avoid problems in generator performance. In a prior work, the authors have presented a diagnostic method that detects combustion failures caused by a fuel deficiency in a cylinder, even in their first stages. The purpose of this paper is to improve this diagnostic technique by including the effects of fuel excess. Thus, another cause of dangerous torque imbalances in generator operation can be avoided. Analyzing the harmonic order of the generator power output makes it possible to detect and identify the cylinder that is producing the imbalance. This new technique has been verified with adequate results in a 11.6 MVA/ 600 rpm/10 kV Diesel-Engine Driven Generator.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"513 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":"123424695","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
Detection and isolation of open-switch and current sensor faults in PMSM drives, through stator current analysis 通过定子电流分析，检测和隔离PMSM驱动器开路开关和电流传感器故障
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062382
S. K. E. Khil, I. Jlassi, J. Estima, N. Mrabet-Bellaaj, A. Cardoso
{"title":"Detection and isolation of open-switch and current sensor faults in PMSM drives, through stator current analysis","authors":"S. K. E. Khil, I. Jlassi, J. Estima, N. Mrabet-Bellaaj, A. Cardoso","doi":"10.1109/DEMPED.2017.8062382","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062382","url":null,"abstract":"Fault detection and fault accommodation as well as fault tolerance are important issues in closed-loop controlled three-phase converters. For such systems, power semiconductors and sensors are the most affected components by the occurrence of failures. Therefore, fault diagnosis and remedial operating strategies involving such components are highly required. In this work we propose a new reliable approach which aims to diagnosis current sensors and power semiconductors open-circuit faults in a permanent magnet synchronous motors (PMSM) drives. The proposed FDI scheme uses only the measured currents, which makes it suitable for real time implementation. The performances of the proposed technique are analyzed through experiments.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"47 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":"131851019","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
Practical aspects of machine diagnostics accuracy 机器诊断准确性的实用方面
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062365
M. Orkisz
{"title":"Practical aspects of machine diagnostics accuracy","authors":"M. Orkisz","doi":"10.1109/DEMPED.2017.8062365","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062365","url":null,"abstract":"In any activity connected with monitoring, diagnostics and prognostics, the accuracy and believability of results is of paramount importance. Two main kinds of diagnostic errors, called Type I and Type II or False Positives and False Negatives are encountered whenever classification, such as “good” vs “bad” is considered. This has been thoroughly discussed, especially in the field of medicine, where the consequences of false judgements can be particularly grave. Other disciplines highly interested in this topic are financial forecasting and insurance. Industrial equipment diagnostics deals with these issues as well. In this paper we consider various factors influencing the quality of data, upon which diagnostic classification is based. We also look at the consequences of diagnostic errors to demonstrate why they are bad. We consider various ways employed to mitigate both the probability and the consequences of false judgements.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"90 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":"122199180","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
Electric machine utilization during the post-fault operation after inverter open circuit faults 逆变器开路故障后运行期间的电机利用率
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062356
Heinrich T. Eickhoff, E. Strangas, A. Muetze
{"title":"Electric machine utilization during the post-fault operation after inverter open circuit faults","authors":"Heinrich T. Eickhoff, E. Strangas, A. Muetze","doi":"10.1109/DEMPED.2017.8062356","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062356","url":null,"abstract":"Inverter open circuit faults (IOCFs) in AC drives lead to undesired effects and thus, the reconfiguration of the drive to a post-fault operation mode is desirable. In the past some authors have proposed drive topologies and operation strategies to keep the drives operating after IOCFs. However, increased losses and temperatures during these post-fault operation modes lead to a reduced performance of the machine. This paper analyzes the occurring losses and the thermally defined operation limits of an induction machine during the post-fault operation. The analysis is performed by means of symmetrical components, finite element analysis and lumped parameter models.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"117 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":"133498047","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
A single fault diagnostics approach for power switches, speed sensors and current sensors in regenerative PMSM drives 再生式永磁同步电机驱动中功率开关、速度传感器和电流传感器的单一故障诊断方法
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062381
I. Jlassi, A. Cardoso
{"title":"A single fault diagnostics approach for power switches, speed sensors and current sensors in regenerative PMSM drives","authors":"I. Jlassi, A. Cardoso","doi":"10.1109/DEMPED.2017.8062381","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062381","url":null,"abstract":"This paper proposes a single fault diagnostic method for regenerative permanent magnet synchronous machine drives with the ability to handle IGBT faults, current sensor faults and mechanical sensor faults. The robustness against false alarms of the proposed technique is improved by using adaptive thresholds and normalized diagnostic variables. The proposed algorithm requires the information given by current sensors and the rotor position sensor, without requiring additional measurements. In order to prove the good performance of the considered fault diagnostic method, several simulation results are presented.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"333 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":"133697123","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
Automated model builder of hybrid bond graph: Application to a two level inverter 混合键合图的自动模型生成器:在二电平逆变器中的应用
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062375
B. Six, B. Ould-Bouamamat, S. Lintz, A. Gehin
{"title":"Automated model builder of hybrid bond graph: Application to a two level inverter","authors":"B. Six, B. Ould-Bouamamat, S. Lintz, A. Gehin","doi":"10.1109/DEMPED.2017.8062375","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062375","url":null,"abstract":"CCAMY systems in partnership with Lille University currently develops Emulatio: a simulation and diagnosis platform for multi-physic systems, using Hybrid Bond Graph. This platform is devoted to automatically build model of industrial Computer-Aided Design schematics, then generate Block-Diagrams for simulation and export Global Analytical Redundancy Relations for model-diagnosis. For this task, a description language is needed. This paper proposes a new modelling language for Hybrid Dynamic Systems named Hybrid Bond Graph Modelling Language. Hybrid Bond Graph Modelling Language is an extension of BGML, designed to help hybrid Bond graph developers with some new features such as specific tags for hybrid causality algorithm assignment procedure, multi-mode equations and new hybrid elements as controlled junctions. The developped language is illustrated by an application to a two level inverter circuit. Finally perspectives are discussed.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"20 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":"133684842","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
A deep learning and softmax regression fault diagnosis method for multi-level converter 一种基于深度学习和softmax的多级变换器故障诊断方法
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062370
Bin Xin, Tianzhen Wang, Tianhao Tang
{"title":"A deep learning and softmax regression fault diagnosis method for multi-level converter","authors":"Bin Xin, Tianzhen Wang, Tianhao Tang","doi":"10.1109/DEMPED.2017.8062370","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062370","url":null,"abstract":"With the single-tube and double-tube fault of seven-level converter, this paper presents a new way to learn the faults feature based on the deep neural network of sparse autoencoder. Sparse autoencoder is an unsupervised learning method, it can learn the feature information of the fault data according to training. The feature information is used to train the softmax classifier by softmax regression to realize the aim of classification. Comparing with the traditional neural network of BP neural network, the experimental results show that the method to classify the fault of seven level converter based on deep neural network of sparse autoencoder can achieve higher accuracy.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"45 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":"114451620","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
Modeling and simulation of stator and rotor faults of induction motor and their experimental comparison 感应电动机定子、转子故障建模与仿真及实验比较
2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062423
S. Dwivedi, J. Dannehl
{"title":"Modeling and simulation of stator and rotor faults of induction motor and their experimental comparison","authors":"S. Dwivedi, J. Dannehl","doi":"10.1109/DEMPED.2017.8062423","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062423","url":null,"abstract":"This paper presents a comprehensive research study on the nature of selected stator and rotor fault of Induction Motor. In this article a mathematical model and a Matlab/ Simulink based simulation model is developed and simulation results for stator and rotor faults of induction motors are presented. Experimental evaluation of harmonics and negative sequence component (measure of unbalance) of stator winding current is obtained in both healthy and faulty condition of Induction motor. The simulation and experimental results show close agreements between them. This developed mathematical model and simulation model is important to understand physics of fault phenomenon in Induction motor and to generate required data to develop reliable fault detection algorithms for Induction Motor.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"82 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":"131913604","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: 4
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