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

页码：749 / 754

页数：6

共 50 条

[21] Neural Network for the Diagnosis of Rotor Broken Faults of Induction Motors Using MCSA
Krishna, Merugu Siva Rama
Kishan, Srikonda Hari
7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO 2013), 2013, : 133 - 137
[22] Time to Fault Minimization for Induction Motors Using Wavelet Transform
Ghods, Amirhossein
Lee, Hong-Hee
INTELLIGENT COMPUTING METHODOLOGIES, 2014, 8589 : 492 - 499
[23] Fault Diagnosis for Induction Motors Using Finite Element Method - A Review
Liang, Xiaodong
Ali, Mohammad Zawad
Zhang, Huaguang
2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2019,
[24] Induction Motors Fault Diagnosis Using Finite Element Method: A Review
Liang, Xiaodong
Ali, Mohammad Zawad
Zhang, Huaguang
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (02) : 1205 - 1217
[25] Incipient fault classification using a combination of S-transform and Hilbert transform method
Zhai Jin-qian
Chen Min-you
Hu Gang
Lang Zi-qiang
Huang Yong
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2013, 23 (01): : 122 - 134
[26] Identification and Classification of Fault using S-Transform in an Unbalanced Network
Roy, N.
Bhattacharya, K.
2013 IEEE 1ST INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS (CATCON), 2013, : 111 - 115
[27] Stator Winding Fault Diagnosis in Induction Motors using the dq Current Trajectory Mass Center
Fernao Pires, V.
Amaral, Tito G.
Martins, J. F.
IECON: 2009 35TH ANNUAL CONFERENCE OF IEEE INDUSTRIAL ELECTRONICS, VOLS 1-6, 2009, : 1233 - +
[28] Time-Frequency Postprocessing Method Based on Generalized S-Transform and Its Application to Aeroengine Rotor System Fault Diagnosis
Wang, Chenxi
Wang, Chaofan
Ding, Baoqing
Zhao, Zhibin
Chen, Xuefeng
Liu, Yi
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73
[29] Robust Diagnosis Algorithm for Identifying Broken Rotor Bar Faults in Induction Motors
Hwang, Don-Ha
Youn, Young-Woo
Sun, Jong-Ho
Kim, Yong-Hwa
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2014, 9 (01) : 37 - 44
[30] Discrete Wavelet Transform for Stator Fault Detection in induction Motors
Kechida, R.
Menacer, A.
Talhaoui, H.
Cherif, H.
2015 IEEE 10TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2015, : 104 - 109

← 1 2 3 4 5 →