A New Algorithm of Online Stator Faults Diagnosis of Three-Phase Induction Motors Using Duty Ratios of Half-Period Frequencies According to Phase Angle Changes

被引:1
|
作者
Go, YoungJin [1 ]
Song, Myoung-Hyun [2 ]
Kim, Jun-Young [2 ]
Lee, Buhm [3 ]
Choi, Wangrim [4 ]
Kim, Kyoung-Min [3 ]
机构
[1] Suncheon JEIL Coll, Dept Elect Automat, Suncheon City, Jeollanam Do, South Korea
[2] Sunchon Natl Univ, Dept Elect Control Engn, Suncheon City, Jeollanam Do, South Korea
[3] Chonnam Natl Univ, Dept Elect & Semicond Engn, Yeosu City, Jeollanam Do, South Korea
[4] Chonnam Natl Univ, Dept Biomed & Elect Engn, Yeosu City, Jeollanam Do, South Korea
关键词
D O I
10.1051/matecconf/20167009002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The causes of faults of induction motors are largely categorized into bearing fault, which causes a mechanical fault, and stator fault and rotor fault, which cause an electrical fault. A stator fault among these faults, which causes an electrical fault, occurs due to the breakdown of insulation, meaning the stator is directly connected with the power supply, and the direct connection is a direct cause of a major accident. For this reason, many studies are being performed to detect the faults. This paper explained the effects of a negative sequence on phase angle change by analyzing the effects of the existing negative sequence on the d-q transform of Park's vector approach. This paper suggested a new algorithm that identifies the causes of stator faults with the use of the change in the duty ratio of the half-period frequency of the frequency when a phase angle change occurs at that moment.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Stator-flux-oriented control for three-phase induction motors using sliding mode control
    Vinh-Quan Nguyen
    Quang-Tho Tran
    Hoai-Nghia Duong
    JOURNAL OF ELECTRICAL SYSTEMS, 2020, 16 (02) : 171 - 184
  • [32] Stator fault analysis of three-phase induction motors using information measures and artificial neural networks
    Bazan, Gustavo Henrique
    Scalassara, Paulo Rogerio
    Endo, Wagner
    Goedtel, Alessandro
    Godoy, Wagner Fontes
    Cunha Palacios, Rodrigo Henrique
    ELECTRIC POWER SYSTEMS RESEARCH, 2017, 143 : 347 - 356
  • [33] Acoustic fault diagnosis of three-phase induction motors using smartphone and deep learning
    Glowacz, Adam
    Sulowicz, Maciej
    Zielonka, Jakub
    Li, Zhixiong
    Glowacz, Witold
    Kumar, Anil
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 262
  • [34] Monitoring and diagnosis of external faults in three phase induction motors using artificial neural network
    Eldin, ElSayed M. Tag
    Emara, Hassan R.
    Aboul-Zahab, Essam M.
    Refaat, Shady S.
    2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 812 - +
  • [35] Time Domain Diagnosis of Multiple Faults in Three Phase Induction Motors Using Inteligent Approaches
    Palacios, R. H. C.
    Godoy, W. F.
    Goedtel, A.
    da Silva, I. N.
    Morinigo-Sotelo, D.
    Duque-Perez, O.
    2017 IEEE 11TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2017, : 85 - 89
  • [36] Discriminating Rotor Cage Faults and Mechanical Load Oscillations in Three-Phase Induction Motors by The Stator Instantaneous Complex Apparent Impedance
    Drif, M'hamed
    Estima, Jorge O.
    Marques Cardoso, A. J.
    2012 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2012, : 3024 - 3031
  • [37] Three-phase induction motors faults recognition and classification using neural networks and response surface models
    Gonçalves Júnior A.M.
    Rocha E Silva V.V.
    Rabelo Baccarini L.M.
    Figueiredo Reis M.L.
    Journal of Control, Automation and Electrical Systems, 2014, 25 (03) : 330 - 338
  • [38] The Use of the Stator Instantaneous Complex Apparent Impedance Signature Analysis for Discriminating Stator Winding Faults and Supply Voltage Unbalance in Three-Phase Induction Motors
    Drif, M'hamed
    Drif, Malika
    Estima, Jorge O.
    Marques Cardoso, A. J.
    2013 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2013, : 4403 - 4411
  • [39] An Embedded System for Stator Short-Circuit Diagnosis in Three-Phase Induction Motors Using Information Theory and Artificial Neural Networks
    Bazan, Gustavo Henrique
    Goedtel, Alessandro
    Scalassara, Paulo Rogerio
    Endo, Wagner
    Nunes, Erick Araujo
    Ferreira Takase, Victor Takeo
    Guedes, Jacqueline Jordan
    Gentil, Murillo Garcia
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (10): : 6582 - 6592
  • [40] Inter-turn stator winding fault diagnosis in three-phase induction motors, by Park's vector approach
    Cardoso, AJM
    Cruz, SMA
    Fonseca, DSB
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 1999, 14 (03) : 595 - 598