Detection of Static Eccentricity Faults in AFPM Machine with Asymmetric Windings Using Vibration Analysis

被引:0
|
作者
Ogidi, O. O. [1 ]
Barendse, P. S. [1 ]
Khan, M. A. [1 ]
机构
[1] Univ Cape Town, Dept Elect Engn, ZA-7700 Rondebosch, South Africa
关键词
Axial flux permanent magnet machine; asymmetrical winding; frequency techniques; harmonics; magnetic forces; static eccentricity; vibration; DESIGN; NOISE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Vibration signature has been proposed for fault diagnosis in electrical machines but its efficacy is hinged on proper determination of vibrating frequencies. Thus, this paper explores the applicability and performance of using vibration analysis on axial flux permanent magnet (AFPM) machine with asymmetric windings under static eccentricity (SE). The test rig developed to accurately replicate the faults is described and the vibration induced by electromagnetic forces associated with SE is investigated. The more dominant frequency component affected by the fault is the 2nd harmonic of the magnetic force. The amplitude of the harmonic increased considerably with worsening SE. Along with other frequency components identified, it is proposed as an index for SE fault detection in AFPM machine.
引用
收藏
页码:1549 / 1554
页数:6
相关论文
共 50 条
  • [1] Detection Study of Static Eccentricity and Demagnetization Faults in IPMSM
    Verma, Pankaj
    Misra, Himanshu
    Rajpurohit, Bharat Singh
    2023 IEEE IAS GLOBAL CONFERENCE ON RENEWABLE ENERGY AND HYDROGEN TECHNOLOGIES, GLOBCONHT, 2023,
  • [2] Diagnosis and Comparison between Stator Current Analysis and Vibration Analysis of Static Eccentricity Faults in The Induction Motor
    Dehina, Wissam
    Boumehraz, Mohamed
    Kratz, Frederic
    Fantini, Jacques
    2019 4TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND THEIR APPLICATIONS (ICPEA), 2019,
  • [3] AN AUTOML-BASED COMPARATIVE EVALUATION OF MACHINE LEARNING METHODS FOR DETECTION OF ECCENTRICITY FAULTS IN INDUCTION MOTORS BY USING VIBRATION SIGNALS
    Irgat, Eyüp
    Ünsal, Abdurrahman
    Metrology and Measurement Systems, 2024, 31 (04) : 831 - 848
  • [4] STATIC ECCENTRICITY FAILURE DIAGNOSIS FOR INDUCTION MACHINE USING WAVELET ANALYSIS
    Kumar, K. Vinoth
    Raj, Calab Bravin A.
    2017 IEEE INTERNATIONAL CONFERENCE ON INNOVATIONS IN GREEN ENERGY AND HEALTHCARE TECHNOLOGIES (IGEHT), 2017,
  • [5] Comparison of Vibration and Noise Measurement of Induction Machine Under Static Eccentricity
    Sobra, Jan
    Kavalir, Tomas
    Sika, Jiri
    MECHATRONICS 2017: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES, 2018, 644 : 592 - 598
  • [6] Faults Detection and Failures Prediction Using Vibration Analysis
    Plante, Tristan
    Nejadpak, Ashkan
    Yang, Cai Xia
    2015 IEEE AUTOTESTCON, 2015, : 227 - 231
  • [7] Influence of static air-gap eccentricity on the vibration of an asymmetric PMSM rotor
    Hu Y.
    Wang X.
    Li W.
    Hu J.
    Cheng S.
    Wang D.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (12): : 164 - 171
  • [8] Detection of Static Eccentricities in Axial-Flux Permanent-Magnet Machines With Concentrated Windings Using Vibration Analysis
    Ogidi, Oladapo O.
    Barendse, Paul S.
    Khan, Mohamed A.
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2015, 51 (06) : 4425 - 4434
  • [9] The detection of bearing faults for induction motors by using vibration signals and machine learning
    Irgat, Eyup
    Cinar, Eyup
    Unsal, Abdurrahman
    2021 IEEE 13TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2021, : 447 - 453
  • [10] Detection of electrical faults in induction motors using vibration analysis
    Monteiro Lamim Filho, Paulo Cezar
    Brito, Jorge Nei
    Diniz Silva, Vinicius Augusto
    Pederiva, Robson
    JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING, 2013, 19 (04) : 364 - +