Rotor Fault Diagnosis in Induction Motors using S-Transform

被引:0
|
作者
Pires, V. Fernao [1 ,7 ]
Amaral, Tito G. [1 ,2 ,3 ]
Foito, D. [1 ]
Fiser, Rastko [4 ]
Ambrozicand, Vanja [4 ]
Martins, J. F. [5 ,6 ]
机构
[1] ESTSetubal, Inst Politecn Setubal, Setubal, Portugal
[2] Inst Politecnico Setubal, CESET, Setubal, Portugal
[3] Univ Coimbra, ISR, P-3000 Coimbra, Portugal
[4] Univ Ljubljana, Fac Elect Engn, Dept Mechatron, Ljubljana 61000, Slovenia
[5] FCT, UNL, Lisbon, Portugal
[6] Univ Nova Lisboa, CTS, Lisbon, Portugal
[7] CIEEE, Lisbon, Portugal
来源
2012 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) | 2012年
关键词
Induction motor; Fault diagnosis; Rotor Broken Bars; S-Transform; ONLINE DIAGNOSIS;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes the use of the S-Transform applied to the stator currents as a method for diagnosing the occurrence of rotor electrical fault (broken bars or faulty rotor windings) in induction motor. Induction motor stator currents are first measured and recorded. Then, the S-Transform is applied to the obtained currents in order to get a specific pattern that allows the identification of the rotor fault. Simulation and experimental results, for both a healthy motor and a motor with a rotor electrical fault, are presented in order to show the effectiveness of the proposed method.
引用
收藏
页码:749 / 754
页数:6
相关论文
共 50 条
  • [41] Rotor broken bar fault diagnosis for induction motors based on double PQ transformation
    Huang, Jin
    Yang, Jia-Qiang
    Niu, Fa-Liang
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2007, 8 (08): : 1320 - 1329
  • [42] Sensorless fault diagnosis of induction motors
    Kim, K
    Parlos, AG
    Bharadwaj, RM
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2003, 50 (05) : 1038 - 1051
  • [43] Gearbox fault classification using S-transform and convolutional neural network
    Zeng, Xueqiong
    Liao, Yixiao
    Li, Weihua
    2016 10TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2016,
  • [44] Comprehensive Eccentricity Fault Diagnosis in Induction Motors Using Finite Element Method
    Faiz, Jawad
    Ebrahimi, Bashir Mahdi
    Akin, Bilal
    Toliyat, Hamid A.
    IEEE TRANSACTIONS ON MAGNETICS, 2009, 45 (03) : 1764 - 1767
  • [45] Approach signal for rotor fault detection in induction motors
    Kechida R.
    Menacer A.
    Talhaoui H.
    Journal of Failure Analysis and Prevention, 2013, 13 (03) : 346 - 352
  • [46] Fault diagnosis of induction motors with dynamical neural networks
    Lehtoranta, J
    Koivo, HN
    INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, 2005, : 2979 - 2984
  • [47] Using the functionality of PWM inverters for fault diagnosis of induction motors
    Beilharz, J
    Filbert, D
    (SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3, 1998, : 247 - 252
  • [48] Rotor Fault Detection in Induction Motors Using the Fast Orthogonal Search Algorithm
    King, G.
    Tarbouchi, M.
    McGaughey, D.
    IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 2010), 2010, : 2621 - 2625
  • [49] A New Criterion for Rotor Broken Bar Fault Diagnosis in Line-start and Inverter-fed Induction Motors using Hilbert-Huang Transform
    Faiz, Jawad
    Ghorbanian, Vahid
    Ebrahimi, Bashir Mahdi
    IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES 2012), 2012,
  • [50] Gearbox fault feature extraction using hilbert transform, S-transform, and a statistical indicator
    Fan, Xianfeng
    Zuo, Ming J.
    JOURNAL OF TESTING AND EVALUATION, 2007, 35 (05) : 477 - 485