Stator Winding Turn Faults Diagnosis for Induction Motor by Immune Memory Dynamic Clonal Strategy Algorithm

被引：0

作者：

吴洪兵 ^{[1
,2
]}

楼佩煌 ^{[1
]}

唐敦兵 ^{[1
]}

机构：

[1] College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics

[2] Departments of Electric Engineering,Huaian College of Information Technology

来源：

Journal of Donghua University(English Edition) | 2013年 / 30卷 / 04期

基金：

中国国家自然科学基金;

关键词：

artificial immune system; dynamic clonal strategy; fault diagnosis; stator winding; motor;

D O I：

10.19884/j.1672-5220.2013.04.003

中图分类号：

TM343 [异步电机]; TH165.3 [];

学科分类号：

080202 ; 080801 ;

摘要：

Quick detection of a small initial fault is important for an induction motor to prevent a consequent large fault.The mathematical model with basic motor equations among voltages,currents,and fluxes is analyzed and the motor model equations are described.The fault related features are extracted.An immune memory dynamic clonal strategy(IMDCS)system is applied to detecting the stator faults of induction motor.Four features are obtained from the induction motor,and then these features are given to the IMDCS system.After the motor condition has been learned by the IMDCS system,the memory set obtained in the training stage can be used to detect any fault.The proposed method is experimentally implemented on the induction motor,and the experimental results show the applicability and effectiveness of the proposed method to the diagnosis of stator winding turn faults in induction motors.

引用

页码：276 / 281

页数：6

共 34 条

[21] Stator inter-turn faults diagnosis in induction motors using zero-sequence signal injectionInspec keywordsOther keywords
Otero, Marcial
de la Barrera, Pablo M.
Bossio, Guillermo R.
Leidhold, Roberto
IET ELECTRIC POWER APPLICATIONS, 2020, 14 (14) : 2731 - 2738
[22] Stator inter-turn shortcircuit fault diagnosis of induction motor based on characteristic current
Wang, Xilian
Zhou, Jinhan
Qin, Jiayi
Geng, Min
Zhao, Bo
COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2025, 44 (01) : 19 - 33
[23] DSP implementation of the multiple reference frames theory for the diagnosis of stator faults in a DTC induction motor drive
Cruz, SMA
Toliyat, HLA
Cardoso, AJM
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2005, 20 (02) : 329 - 335
[24] Least square support vectors machines approach to diagnosis of stator winding short circuit fault in induction motor
BIRAME M.
TAIBI D.
BESSEDIK S.A.
BENKHORIS M.F.
Diagnostyka, 2020, 21 (04): : 35 - 41
[25] Inter-Turn Stator Winding fault Diagnosis for Permanent Magnet Synchronous Motor based Power Spectral Density Estimators
Zerdani, Sara
El Hafyani, Mohammed Larbi
Zouggar, Smail
2020 8TH INTERNATIONAL CONFERENCE ON SMART GRID AND CLEAN ENERGY TECHNOLOGIES (ICSGCE 2020), 2020, : 137 - 142
[26] Inter-turn stator winding fault diagnosis in three-phase induction motors, by Park's vector approach
Cardoso, AJM
Cruz, SMA
Fonseca, DSB
IEEE TRANSACTIONS ON ENERGY CONVERSION, 1999, 14 (03) : 595 - 598
[27] NI CompactRIO-based methodology for online detection of stator winding inter-turn insulation faults in 3-phase induction motors
Sarkar, Shubhasish
Purkait, Prithwiraj
Das, Santanu
MEASUREMENT, 2021, 182
[28] Simulative and experimental investigation on stator winding turn and unbalanced supply voltage fault diagnosis in induction motors using Artificial Neural Networks
Lashkari, Negin
Poshtan, Javad
Azgomi, Hamid Fekri
ISA TRANSACTIONS, 2015, 59 : 334 - 342
[29] Stator ITSC Fault Diagnosis for EMU Induction Traction Motor Based on Goertzel Algorithm and Random Forest
Ma, Jie
Li, Yingxue
Wang, Liying
Hu, Jisheng
Li, Hua
Fei, Jiyou
Li, Lin
Zhao, Geng
ENERGIES, 2023, 16 (13)
[30] Common Diagnosis Approach to Three-Class Induction Motor Faults Using Stator Current Feature and Support Vector Machine
Yatsugi, Kenichi
Pandarakone, Shrinathan Esakimuthu
Mizuno, Yukio
Nakamura, Hisahide
IEEE ACCESS, 2023, 11 : 24945 - 24952

← 1 2 3 4 →