Rotor cage faults detection in induction motors by motor current demodulation analysis

被引:0
|
作者
Jaksch, Ivan [1 ]
Fuchs, Petr [1 ]
机构
[1] Tech Univ Liberec, Fac Mechatron, Halkova 46117 6, Czech Republic
关键词
demodulation; fault detection; Hilbert transform; induction motor; modulation; rotor faults; signal analysis;
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
Dynamic rotor faults of induction motors, mainly broken or cracked rotor bars and dynamic rotor eccentricity, cause stator currents modulation. The detailed motor current analysis revealed meaningful phase modulation and its relation to amplitude modulation at increasing motor load and inertia load. It is shown, that by increasing motor load mainly phase modulation increases and by increasing inertia load a phase shift between both modulations currents changes. This influences the MCSA spectral sidebands amplitudes and therefore it is not possible to determine the real fault size. The paper introduces a new method of motor current amplitude demodulation analysis - MCDA and shows that spectral amplitudes almost do not change with increasing load and inertia load. Moreover MCDA directly analyzes fault signals without great motor stator current and increases resolution both in amplitude and frequency domains, facilitates and precises evaluation. Two demodulation methods using Hilbert transform and space transform are introduced.
引用
收藏
页码:72 / +
页数:2
相关论文
共 50 条
  • [1] Reliable Flux based Detection of Rotor Cage Faults in Induction Motors
    Lee, Sang Bin
    Shin, Jaehoon
    Park, Yonghyun
    Kim, Heonyoung
    Kim, Jongwan
    [J]. 2021 IEEE 13TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2021, : 160 - 166
  • [2] Automatic detection and classification of rotor cage faults in squirrel cage induction motor
    Hayri Arabacı
    Osman Bilgin
    [J]. Neural Computing and Applications, 2010, 19 : 713 - 723
  • [3] Automatic detection and classification of rotor cage faults in squirrel cage induction motor
    Arabaci, Hayri
    Bilgin, Osman
    [J]. NEURAL COMPUTING & APPLICATIONS, 2010, 19 (05): : 713 - 723
  • [4] Prony Method Estimation for Motor Current Signal Analysis Diagnostics in Rotor Cage Induction Motors
    Trujillo Guajardo, Luis Alonso
    Platas Garza, Miguel Angel
    Rodriguez Maldonado, Johnny
    Gonzalez Vazquez, Mario Alberto
    Rodriguez Alfaro, Luis Humberto
    Salinas Salinas, Fernando
    [J]. ENERGIES, 2022, 15 (10)
  • [5] USING ANALYSIS OF STATOR CURRENT FOR SQUIRREL-CAGE INDUCTION MOTOR ROTOR FAULTS DIAGNOSTICS
    Vaimann, Toomas
    Kallaste, Ants
    Kilk, Aleksander
    [J]. ELECTRICAL AND CONTROL TECHNOLOGIES, 2011, : 245 - 250
  • [6] Application of the Welch, Burg and MUSIC methods to the detection of rotor cage faults of induction motors
    Pereira, Luis A.
    Fernandes, Denis
    Gazzana, Daniel S.
    Libano, F. B.
    Haffner, Sergio
    [J]. 2006 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA, VOLS 1-3, 2006, : 881 - +
  • [7] Current Spectral Analysis of Broken Rotor Bar Faults for Induction Motors
    Edomwandekhoe, Kenneth
    Liang, Xiaodong
    [J]. 2018 IEEE CANADIAN CONFERENCE ON ELECTRICAL & COMPUTER ENGINEERING (CCECE), 2018,
  • [8] Influence of Nonconsecutive Bar Breakages in Motor Current Signature Analysis for the Diagnosis of Rotor Faults in Induction Motors
    Riera-Guasp, Martin
    Fernandez Cabanas, Manes
    Antonino-Daviu, Jose A.
    Pineda-Sanchez, Manuel
    Rojas Garcia, Carlos H.
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2010, 25 (01) : 80 - 89
  • [9] Stator Current Demodulation for Induction Machine Rotor Faults Diagnosis
    El Bouchikhi, El Houssin
    Choqueuse, Vincent
    Benbouzid, Mohamed
    Antonino-Daviu, Jose A.
    [J]. 2014 INTERNATIONAL CONFERENCE ON GREEN ENERGY, 2014, : 176 - 181
  • [10] Performance evaluation of nonparametric, parametric, and the MUSIC methods to detection of rotor cage faults of induction motors
    Pereira, Luis A.
    Fernandes, Denis
    Gazzana, Daniel S.
    Libano, Fausto B.
    Haffner, Sergio
    [J]. IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11, 2006, : 4944 - +