Multiphysics Coupling Model to Characterise the Behaviour of Induction Motors With Eccentricity and Bearing Faults

被引:3
|
作者
Gong, Zifeng [1 ]
Desenfans, Philip [1 ]
Pissoort, Davy [1 ]
Hallez, Hans [2 ]
Vanoost, Dries [1 ]
机构
[1] Dept Elect Engn, M Grp, KU Leuven, Bruges Campus, B-8200 Brugge, Belgium
[2] Dept Comp Sci, M Grp, KU Leuven, Bruges Campus, B-8200 Brugge, Belgium
关键词
Rotors; Stator windings; Circuit faults; Integrated circuit modeling; Atmospheric modeling; Magnetic circuits; Magnetic flux; Bearing faults; eccentricity faults; induction motor; magnetic equivalent circuit; multiphysics coupling; DYNAMIC SIMULATION; DIAGNOSIS; MACHINES; ELEMENT;
D O I
10.1109/TEC.2023.3305717
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Bearing faults and eccentricity faults are significant contributors to induction motor performance degradation and failures. This article presents a multiphysics model for induction motors, integrating both the electromagnetic and mechanical systems to effectively characterise their behaviour in the presence of bearing faults and eccentricity faults. The proposed model incorporates the interactions between the two systems through the unbalanced magnetic pull, the electromagnetic torque, and the rotor motion. Bearing faults are represented as physical spalls with specific width and depth located on the bearing components. Eccentricity faults, on the other hand, are modelled as a non-uniformed distribution of air gap. Both the bearing fault models and the eccentricity fault models are integrated into the mechanical part of the multiphysics model. The model is validated by the comparison with the reference data from the motor manufacturer and the finite element method. Results show the proposed model achieves remarkable accuracy with moderate computational cost. The effects of fault severity, fault location, load torque, and external load on the unbalanced magnetic pull produced in induction motors and the rotor radial displacement are studied.
引用
收藏
页码:146 / 159
页数:14
相关论文
共 50 条
  • [41] A generic neurofuzzy model-based approach for detecting faults in induction motors
    Tan, WW
    Huo, H
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2005, 52 (05) : 1420 - 1427
  • [42] A Frequency-Based Approach to Detect Bearing Faults in Induction Motors Using Discrete Wavelet Transform
    Ghods, Amirhossein
    Lee, Hong-hee
    2014 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2014, : 121 - 125
  • [43] Probabilistic frequency-domain discrete wavelet transform for better detection of bearing faults in induction motors
    Ghods, Amirhossein
    Lee, Hong-Hee
    NEUROCOMPUTING, 2016, 188 : 206 - 216
  • [44] Mathematics model and decoupling control for self-bearing induction motors
    School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
    Dianji yu Kongzhi Xuebao, 2007, 4 (321-325):
  • [45] A Winding Function-Based Model of Air-gap Eccentricity in Saturated Induction Motors
    Ghoggal, A.
    Zouzou, S. E.
    Sahraoui, M.
    Derghal, H.
    Hadri-Hamida, A.
    2012 XXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2012, : 2739 - 2745
  • [46] Adjusted Electrical Equivalent Circuit Model of Induction Motor with Broken Rotor Bars and Eccentricity Faults
    Petrov, A.
    Plokhov, I.
    Rassolkin, A.
    Vaimann, T.
    Kallaste, A.
    Belahcen, A.
    2017 IEEE 11TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2017, : 58 - 64
  • [47] Model-Based Analysis and Quantification of Bearing Faults in Induction Machines
    Zhang, Shen
    Wang, Bingnan
    Kanemaru, Makoto
    Lin, Chungwei
    Liu, Dehong
    Miyoshi, Masahito
    Teo, Koon Hoo
    Habetler, Thomas G.
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (03) : 2158 - 2170
  • [48] Detection Based on Stator Current Signature of the Single and Combined Short-Circuit, Broken Bar and Eccentricity Faults in Induction Motors
    Constantin, Alexandru-Ionel
    2019 11TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2019,
  • [49] Influence of Single or Multiple Faults Short-circuit, Broken Rotor Bar and Eccentricity on the Torque and Rotor Force in Induction Motors
    Fireteanu, Virgiliu
    Constantin, Alexandru-Ionel
    Popa, Monica
    2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2018, : 1868 - 1874
  • [50] Detection of rotor eccentricity faults in closed-loop drive-connected induction motors using an artificial neural network
    Huang, XH
    Habetler, TG
    Harley, RG
    PESC 04: 2004 IEEE 35TH ANNUAL POWER ELECTRONICS SPECIALISTS CONFERENCE, VOLS 1-6, CONFERENCE PROCEEDINGS, 2004, : 913 - 918