Misalignment fault detection in induction motor using rotor shaft vibration and stator current signature analysis

被引：8

作者：

Verma, Alok Kumar ^{[1
]}

Sarangi, Somnath ^{[1
]}

Kolekar, Maheshkumar H. ^{[1
]}

机构：

[1] Department of Electrical Engineering, Indian Institute of Technology Patna, Patna - 800013, India, Patliputra Colony

来源：

International Journal of Mechatronics and Manufacturing Systems | 2013年 / 6卷 / 5-6期

关键词：

Fast Fourier transform; Fault diagnosis; MCSA; Misalignment; Motor current signature analysis; Rotor vibration;

D O I：

10.1504/IJMMS.2013.058519

中图分类号：

学科分类号：

摘要：

In any rotating machine one of the most common faults is misalignment. Misalignment in any machine decreases the efficiency of that machine in short run. In long run process it may cause failure because of unnecessary vibration, gives stresses on motor and bearings and also danger of short circuiting in stator and rotor windings. In almost all the previous literatures, only the use of vibration information for the misalignment has been discussed. In this paper inspection of misalignment is done by using diagnostic medium such as rotor vibration as well as stator current. The vibration and the current signals are obtained for parallel, angular and the combination of both the misalignments. FFT was carried out for the obtained responses to investigate the fault. To show the uniqueness of misalignment fault orbit plot of vibrations spectra are used. Copyright © 2013 Inderscience Enterprises Ltd.

引用

页码：422 / 436

页数：14

共 50 条

[31] Fault Diagnosis of an Induction Motor through Motor Current Signature Analysis, FFT & DWT Analysis
Abhinandan, A. C.
Sidram, M. H.
2017 4TH IEEE INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGIES AND APPLIED SCIENCES (ICETAS), 2017,
[32] Influence of Rotor Faults on Induction Motor Stator Current Concordia Patterns
Purkait, P.
Das, G.
Mukherjee, D.
Das, S.
2012 1ST INTERNATIONAL CONFERENCE ON POWER AND ENERGY IN NERIST (ICPEN), 2012,
[33] Stator-Current Spectrum Signature of Healthy Cage Rotor Induction Machines
Joksimovic, Gojko M.
Riger, Jaksa
Wolbank, Thomas M.
Peric, Nedjeljko
Vasak, Mario
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (09) : 4025 - 4033
[34] Detection of Rotor Bar Faults by Using Stator Current Envelope
Arabaci, Hayri
Bilgin, Osman
WORLD CONGRESS ON ENGINEERING, WCE 2011, VOL II, 2011, : 1432 - 1435
[35] Misalignment and Unbalance Fault Severity Estimation using Stator Current Measurements
Corne, Bram
Knockaert, Jos
Desmet, Jan
2017 IEEE 11TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2017, : 247 - 253
[36] Online mechanical fault diagnosis of induction motor by wavelet artificial neural network using stator current
Ye, ZM
Wu, B
Zargari, N
IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4: 21ST CENTURY TECHNOLOGIES AND INDUSTRIAL OPPORTUNITIES, 2000, : 1183 - 1188
[37] An Effective Stator Fault Diagnosis Framework of BLDC Motor Based on Vibration and Current Signals
Shifat, Tanvir Alam
Hur, Jang Wook
IEEE ACCESS, 2020, 8 : 106968 - 106981
[38] Broken Rotor Bar Fault Detection of Induction Machine Based on Rectified Orthogonal Axes of Stator Current
Hajnayeb, Saeed
Marzebali, Mohammad Hoseintabar
Abolghasemi, Vahid
Faiz, Jawad
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73
[39] Early fault detection using a novel spectrum enhancement method for motor current signature analysis
Hu, Niaoqing
Zhang, Yue
Gu, Fengshou
Qin, Guojun
Ball, Andrew
ADVANCES ON ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING AND DATA BASES, PROCEEDINGS, 2008, : 470 - +
[40] Incipient Fault Detection in Stator Windings of an Induction Motor Using Stockwell Transform and SVM
Singh, Megha
Shaik, Abdul Gafoor
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (12) : 9496 - 9504

← 1 2 3 4 5 →