Broken Bar Fault Diagnosis for Induction Machines under Load Variation Condition using Discrete Wavelet Transform

被引：8
|
作者：
Shi, Pu [1 ]
Chen, Zheng [1 ]
Vagapov, Yuriy [1 ]
Davydova, Anastasia [2 ]
Lupin, Sergey [2 ]
机构：
[1] Glyndwr Univ, Mold Rd, Wrexham LL11 2AW, Wales
[2] Natl Res Univ Elect Technol, Moscow 124498, Russia
来源：
2014 IEEE EAST-WEST DESIGN & TEST SYMPOSIUM (EWDTS) | 2014年
关键词：
ROTOR BARS; MOTORS;
D O I：
10.1109/EWDTS.2014.7027059
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents a new approach for detection of broken rotor bar fault in squirrel cage induction motors operating under varying load conditions. A mathematical model used in the presented method was developed using winding function approach to provide indication references for induction motor parameters under load variation. The model shows a strong relationship between broken rotor bar fault and stator current. The method is based on analysis of stator current using discrete wavelet transform. To verify the proposed method a squirrel cage induction motor with 1, 2 and 3 broken bars at no-load, half-and full-load conditions was investigated. Obtained experimental results confirmed the validity of the proposed approach.
引用
收藏
页数：4
相关论文
共 50 条
  • [31] Diagnosis of bearing defects in induction motors using discrete wavelet transform
    Bessous N.
    Zouzou S.E.
    Bentrah W.
    Sbaa S.
    Sahraoui M.
    [J]. International Journal of System Assurance Engineering and Management, 2018, 9 (2) : 335 - 343
  • [32] Pattern recognition - A technique for induction machines rotor fault detection "broken bar fault"
    Haji, M
    Toliyat, HA
    [J]. IEMDC 2001: IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, 2001, : 899 - 904
  • [33] Analysis of Broken Rotor bar Fault Diagnosis for Induction Motor
    Sharma, Amandeep
    Mathew, Lini
    Chatterji, Shantanu
    [J]. 2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN CONTROL, COMMUNICATION AND INFORMATION SYSTEMS (ICICCI-2017), 2017, : 492 - 496
  • [34] Rotor Fault Detection of Induction Machines with Optimal Wavelet Transform
    Sintoni, Michele
    Bellini, Alberto
    Forlivesi, Diego
    Bianchini, Claudio
    [J]. 2021 IEEE WORKSHOP ON ELECTRICAL MACHINES DESIGN, CONTROL AND DIAGNOSIS (WEMDCD), 2021, : 283 - 288
  • [35] Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines
    Antonino-Daviu, Jose A.
    Riera-Guasp, Martin
    Folch, Jose Roger
    Palomares, M. Pilar Molina
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2006, 42 (04) : 990 - 996
  • [36] Gear Fault Diagnosis Using Discrete Wavelet Transform and Deep Neural Networks
    Heydarzadeh, Mehrdad
    Kia, Shahin Hedayati
    Nourani, Mehrdad
    Henao, Humberto
    Capolino, Gerard-Andre
    [J]. PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 1494 - 1500
  • [37] A Novel Broken Rotor Bar Fault Detection Method Using Park's Transform and Wavelet Decomposition
    Salehi Arashloo, Ramin
    Romeral Martinez, Jose Luis
    Salehifar, Mehdi
    [J]. 2013 9TH IEEE INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2013, : 412 - 419
  • [38] Bearing Fault Diagnosis Using Discrete Wavelet Transform And Artificial Neural Network
    Patil, Aditi B.
    Gaikwad, Jitendra A.
    Kulkarni, Jayant V.
    [J]. PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT), 2016, : 399 - 405
  • [39] Discrete Wavelet Transform for Stator Fault Detection in an Induction Motor
    Bal’ V.B.
    Kotelenets N.F.
    Deeb M.
    [J]. Power Technology and Engineering, 2023, 57 (01) : 175 - 185
  • [40] Investigation of engine fault diagnosis using discrete wavelet transform and neural network
    Wu, Jian-Da
    Liu, Chiu-Hong
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2008, 35 (03) : 1200 - 1213
12345