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      KCI등재 SCIE SCOPUS

      A Fault Severity Index for Stator Winding Faults Detection in Vector Controlled PM Synchronous Motor

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      https://www.riss.kr/link?id=A101550315

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      다국어 초록 (Multilingual Abstract)

      Stator turn faults in permanent magnet synchronous motors (PMSMs) are more dangerous than those in induction motors (IMs) because of the presence of spinning rotor magnets that can be turned off at will. Condition monitoring and fault detection and di...

      Stator turn faults in permanent magnet synchronous motors (PMSMs) are more dangerous than those in induction motors (IMs) because of the presence of spinning rotor magnets that can be turned off at will. Condition monitoring and fault detection and diagnosis of the PMSM have been receiving a growing amount of attention among scientists and engineers in the past few years. The aim of this study is to propose a new detection technique of stator winding faults in a three-phase PMSM. This technique is based on the image analysis and recognition of the stator current Concordia patterns, and will allow the identification of turn faults in the stator winding as well as its correspondent fault index severity. A test bench of a vector controlled PMSM motor behaviors under short circuited turn in two phases stator windings has been built. Some experimental results of the phase to phase short circuits have been performed for diagnosis purpose.

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      목차 (Table of Contents)

      • Abstract
      • 1. Introduction
      • 2. Pattern Analysis for Motor Fault Diagnosis
      • 3. Experimental Setup and Results
      • 4. Conclusion
      • Abstract
      • 1. Introduction
      • 2. Pattern Analysis for Motor Fault Diagnosis
      • 3. Experimental Setup and Results
      • 4. Conclusion
      • References
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      참고문헌 (Reference)

      1 J. Arellano-Padilla, "Winding condition monitoring scheme for a permanent magnet machine using high-frequency injection" 5 (5): 89-99, 2011

      2 M. Hadef, "Vector controlled permanent magnet synchronous motor (PMSM) drive with stator turn fault" 2010

      3 J. F. Martins, "Unsupervised neural network-based algorithm for an on-line diagnosis of three-phase induction motor stator fault" 54 (54): 253-264, 2007

      4 S.M.A. Cruz, "Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by extended park’s vector approach" 37 (37): 1227-1233, 2001

      5 B.M. Ebrahimi, "Novel indices for broken rotor bars fault diagnosis in induction motors using wavelet transform" 30 : 131-145, 2012

      6 J. A. Farooq, "Modelling and simulation of stator winding inter-turn faults in permanent magnet synchronous motors" 27 (27): 887-896, 2008

      7 A. Sarikhani, "Inter-turn fault detection in PM synchronous machines by physicsbased back electromotive force estimation" 60 (60): 3472-3484, 2013

      8 J. F. Martins, "Induction motor fault detection and diagnosis using a current state pattern recognition" 32 : 321-328, 2011

      9 V. N. Ghate, "Induction Machine Fault Detection Using Generalized Feed Forward Neural Network" 대한전기학회 4 (4): 389-395, 2009

      10 G. Didier, "Fault detection of broken rotor bars in induction motor using a global fault index" 42 (42): 79-88, 2006

      1 J. Arellano-Padilla, "Winding condition monitoring scheme for a permanent magnet machine using high-frequency injection" 5 (5): 89-99, 2011

      2 M. Hadef, "Vector controlled permanent magnet synchronous motor (PMSM) drive with stator turn fault" 2010

      3 J. F. Martins, "Unsupervised neural network-based algorithm for an on-line diagnosis of three-phase induction motor stator fault" 54 (54): 253-264, 2007

      4 S.M.A. Cruz, "Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by extended park’s vector approach" 37 (37): 1227-1233, 2001

      5 B.M. Ebrahimi, "Novel indices for broken rotor bars fault diagnosis in induction motors using wavelet transform" 30 : 131-145, 2012

      6 J. A. Farooq, "Modelling and simulation of stator winding inter-turn faults in permanent magnet synchronous motors" 27 (27): 887-896, 2008

      7 A. Sarikhani, "Inter-turn fault detection in PM synchronous machines by physicsbased back electromotive force estimation" 60 (60): 3472-3484, 2013

      8 J. F. Martins, "Induction motor fault detection and diagnosis using a current state pattern recognition" 32 : 321-328, 2011

      9 V. N. Ghate, "Induction Machine Fault Detection Using Generalized Feed Forward Neural Network" 대한전기학회 4 (4): 389-395, 2009

      10 G. Didier, "Fault detection of broken rotor bars in induction motor using a global fault index" 42 (42): 79-88, 2006

      11 L. M. R. Olivier, "Extended Park’s vector approach-based differential protection of threephase power tarnsformers" 6 (6): 463-472, 2012

      12 J. Faiz, "Different indexes for eccentricity faults diagnosis in three-phase squirrel-cage induction motors: A review" 19 : 2-13, 2009

      13 A. Soualhi, "Detection and diagnosis of faults in induction motor using an improved artificial and clustering technique" 60 (60): 4053-4062, 2013

      14 B. L. R. Samaga, "Comprehensive study of mixed eccentricity fault diagnosis in induction motors using signature analysis" 35 : 180-185, 2012

      15 A. Medoued, "Classification of Induction Machine Faults using Time Frequency Representation and Particle Swarm Optimization" 대한전기학회 9 (9): 170-177, 2014

      16 Hong-Hee Lee, "Bearing Fault Diagnosis using fuzzy inference optimized by Neural network and Genetic algorithm" 대한전기학회 2 (2): 353-357, 2007

      17 Y. Nyanteh, "Application of artificial intelligence to realtime fault detection in permanent-magnet synchronous machines" 49 (49): 1205-1214, 2013

      18 T. Ishikawa, "Analysis for fault detection of vector-controlled permanent magnet synchronous motor with magnet defect" 49 (49): 2331-2334, 2013

      19 Y. Gritli, "Advanced diagnosis of electrical faults in wound-rotor induction machines" 60 (60): 4012-4024, 2013

      20 Y. Da, "A new approach to fault diagnosis for permanent magnet synchronous machines using electromagnetic signature analysis" 28 (28): 4104-4112, 2013

      21 F. Zidani, "A fuzzy-based approach for the diagnosis of fault modes in a voltage-fed PWM inverter induction motor drive" 55 (55): 586-593, 2008

      22 J. C. Urresty, "A back-emf based method to detect magnet failures in PMSMs" 49 (49): 591-598, 2013

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      학술지등록 한글명 : Journal of Electrical Engineering & Technology(JEET)
      외국어명 : Journal of Electrical Engineering & Technology
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 학술지 통합 (기타) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.45 0.21 0.39
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.37 0.34 0.372 0.04
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