2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)最新文献_第9页

A multi-mode process monitoring method based on mode-correlation PCA for Marine Current Turbine 基于模态相关主成分分析的水轮机多模态过程监测方法

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062369

Milu Zhang, Tianzhen Wang, Tianhao Tang

引用次数: 7

Stator short-circuit diagnosis in power alternators based on Flux2D/Matlab co-simulation 基于Flux2D/Matlab联合仿真的交流发电机定子短路诊断

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062359

C. Filleau, A. Picot, P. Maussion, P. Manfe, X. Jannot

引用次数: 3

Improved high resolution estimation approach for rotor fault diagnosis 改进的转子故障高分辨率估计方法

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062405

Zijian Liu, Jin Huang

引用次数: 0

Low computational cost algorithm for detecting rotor asymmetries in IM based on the negative sequence component of the startup currents 基于启动电流负序分量的IM转子不对称检测低计算成本算法

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062420

J. Burriel-Valencia, R. Puche-Panadero, M. Riera-Guasp, Á. Sapena-Bañó, M. Pineda-Sánchez, J. Martínez-Román

引用次数: 5

Simulation and experimental analyses of planetary gear tooth defect using electrical and mechanical signatures of wound rotor induction generators 基于绕线转子感应发电机电气特征和机械特征的行星齿轮齿形缺陷仿真与实验分析

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062367

S. H. Kia, Mohammad Hoseintabar Marzebali, H. Henao, G. Capolino, J. Faiz

{"title":"Simulation and experimental analyses of planetary gear tooth defect using electrical and mechanical signatures of wound rotor induction generators","authors":"S. H. Kia, Mohammad Hoseintabar Marzebali, H. Henao, G. Capolino, J. Faiz","doi":"10.1109/DEMPED.2017.8062367","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062367","url":null,"abstract":"In this paper, the sun gear tooth fault in a one-stage planetary gear is studied in a representative electromechanical system. The aim is to use both electrical and mechanical signatures of a wound rotor induction generator for fault diagnosis through both numerical simulation and experimental approaches. In this regard, a dynamic model of the system, which includes all mechanical components in the drive-train, is presented. It is shown that the sun gear tooth localized fault generates fault impacts at the N×(fs-fc) frequency in the mechanical torque. It is also observed that the most sensitive fault frequency components are close to the main natural torsional resonance frequencies of the mechanical system under study. The simulation results are validated by experiments obtained from a test-rig based upon a 5.5kW wound rotor induction generator which is linked to a one-stage planetary gearbox through mechanical couplings and a high speed shaft. The results demonstrate that the gear tooth localized fault can be detected using both the mechanical torque and the stator current signature of the wound rotor induction generator.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"1 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":"129274141","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

Hall-effect sensor fault identification in brushless DC motor drives using wavelets 基于小波的无刷直流电机霍尔传感器故障识别

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062391

E. Mitronikas, Dimitrios A. Papathanasopoulos, G. Athanasiou, S. Tsotoulidis

引用次数: 13

Linear discriminant analysis for an automatic detection of stator faults in induction motor drives 异步电动机定子故障自动检测的线性判别分析

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062402

L. Frosini, Stefano Zanazzo, Francesca Beccarisi

引用次数: 5

Open-circuit fault diagnosis in interleaved DC-DC boost converters and reconfiguration strategy 交错DC-DC升压变换器开路故障诊断及重构策略

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062385

F. Bento, A. Cardoso

引用次数: 18

High frequency transformer modelling using state space representation for FRA studies 基于状态空间表示的高频变压器FRA建模研究

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062389

A. Abu‐Siada

{"title":"High frequency transformer modelling using state space representation for FRA studies","authors":"A. Abu‐Siada","doi":"10.1109/DEMPED.2017.8062389","DOIUrl":"https://doi.org/10.1109/DEMPED.2017.8062389","url":null,"abstract":"The concept of Frequency Response Analysis (FRA) has been widely accepted as a reliable diagnostic tool to detect winding and core deformations within power transformers. While the measurement of transformer FRA signatures has been standardized since the development of advanced frequency response analyzers, interpretation of the FRA signature which is provided as a graphical plot is still challenging. At this stage there is no interpretation code for FRA signatures published and widely accepted yet. To develop such codes, impact of various mechanical deformations on the FRA signature must be well investigated and fully understood through simulation analysis and practical measurements. For simulation analysis, a reliable high frequency transformer model is essential. This paper presents a state space representation for a high frequency transformer model in which the physical meaning of the model parameters facilitates the identification of the problem within the transformer. Various mechanical faults are simulated into the model to investigate their impacts on the FRA signature.","PeriodicalId":325413,"journal":{"name":"2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"46 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":"133791799","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

Fault identification on hall-effect sensors positioning in brushless DC motor drives via a fuzzy inference system 基于模糊推理系统的无刷直流电机霍尔效应传感器定位故障识别

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI: 10.1109/DEMPED.2017.8062373

Dimitrios A. Papathanasopoulos, G. Athanasiou, S. Tsotoulidis, E. Mitronikas

引用次数: 6