Reliable Detection of Broken Rotor Bars in Induction Motors via MUSIC and ZSC Methods

被引：0

作者：

Morinigo-Sotelo, Daniel ^{[1
,2
]}

Romero-Troncoso, Rene J. ^{[2
,3
]}

Antonino-Daviu, Jose A. ^{[4
]}

Gyftakis, Konstantinos N. ^{[5
,6
]}

机构：

[1] Univ Valladolid, Valladolid, Spain

[2] HSPdigital Res Grp, Mexico City, DF, Mexico

[3] Univ Guanajuato, DICIS, CA Telemat, Guanajuato, Mexico

[4] Univ Politecn Valencia, ITE, Camino Vera S-N, E-46022 Valencia, Spain

[5] Coventry Univ, Sch CEM, Fac Engn Environm & Comp, Coventry, W Midlands, England

[6] Coventry Univ, Res Ctr Mobil & Transport, Coventry, W Midlands, England

来源：

2016 XXII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM) | 2016年

关键词：

Broken bar; Fault diagnosis; Induction motor; MUSIC; ZSC; CURRENT SIGNATURE ANALYSIS; WAVELET TRANSFORM; FAULT-DIAGNOSIS; DEFECTS; MACHINE;

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：

Induction motors are used in a variety of industrial applications where frequent startups are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of the fault-related harmonics in the signal. In this paper, the zero-sequence current (ZSC) is analysed using the high-resolution spectral method of multiple signal classification (MUSIC). The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transient and steady state operation of the induction motor.

引用

页码：2881 / 2886

页数：6

共 50 条

[1] Reliable Detection of Rotor Bars Breakage in Induction Motors via MUSIC and ZSC Methods
Morinigo-Sotelo, Daniel
Romero-Troncoso, Rene de J.
Panagiotou, Panagiotis A.
Antonino-Daviu, Jose A.
Gyftakis, Konstantinos N.
[J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2018, 54 (02) : 1224 - 1234
[2] Detection of Broken Rotor Bars in Cage Induction Motors Using Machine Learning Methods
Chisedzi, Lloyd Prosper
Muteba, Mbika
[J]. SENSORS, 2023, 23 (22)
[3] IBPSO-Based MUSIC Algorithm for Broken Rotor Bars Fault Detection of Induction Motors
Pan-Pan Wang
Xiao-Xiao Chen
Yong Zhang
Yong-Jun Hu
Chang-Xin Miao
[J]. Chinese Journal of Mechanical Engineering, 2018, 31
[4] IBPSO-Based MUSIC Algorithm for Broken Rotor Bars Fault Detection of Induction Motors
Wang, Pan-Pan
Chen, Xiao-Xiao
Zhang, Yong
Hu, Yong-Jun
Miao, Chang-Xin
[J]. CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2018, 31 (01)
[5] IBPSO-Based MUSIC Algorithm for Broken Rotor Bars Fault Detection of Induction Motors
Pan-Pan Wang
Xiao-Xiao Chen
Yong Zhang
Yong-Jun Hu
Chang-Xin Miao
[J]. Chinese Journal of Mechanical Engineering, 2018, 31 (05) : 48 - 57
[6] A MUSIC-Based Method to Detect Broken Rotor Bars in Induction Motors
Sun, Junzhong
Liu, Jinhui
[J]. 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2011, : 361 - 364
[7] Detection of broken rotor bars in induction motors using wavelet analysis
Douglas, H
Pillay, P
Ziarani, A
[J]. IEEE IEMDC'03: IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, VOLS 1-3, 2003, : 923 - 928
[8] NONINVASIVE DETECTION OF BROKEN ROTOR BARS IN OPERATING INDUCTION-MOTORS
KLIMAN, GB
KOEGL, RA
STEIN, J
ENDICOTT, RD
MADDEN, MW
[J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 1988, 3 (04) : 873 - 879
[9] A hybrid detection method of broken rotor bars in cage induction motors
Sun, LL
Li, LH
Xu, BQ
[J]. 2004 International Conference on Power System Technology - POWERCON, Vols 1 and 2, 2004, : 177 - 181
[10] Sensitive and reliable detection of broken rotor bar fault in induction motors
Xu, BQ
Li, HM
Sun, LL
[J]. CONFERENCE RECORD OF THE 2004 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-4: COVERING THEORY TO PRACTICE, 2004, : 714 - 719

← 1 2 3 4 5 →