UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREM06026


Registration ID:
306067

Page Number

151-157

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Title

Multiple Fault Detection in Induction Motor

Authors

Abstract

Detection of faults in the induction motor has been a challenging task for researchers and engineers in industry. If the fault is not detected in the premature stage it will lead to system shut down causing production losses. In motor number of faults can be present at the same time. The detection of these faults is crucial to save maintenance time and production losses. Vibration signal monitoring techniques are implemented for the internal fault detection. This is because current monitoring techniques are used for the detection of faults. But current monitoring does not provide reliable results. These vibration signals are collected by using accelerometer. For the external fault Detection , voltage and current signals of three phases are studied. Time domain and frequency domain techniques have been implemented for the detection of internal faults using MATLAB. This thesis presents efficient and cost effective solution for the detection of faults. Various classification techniques have been implemented for the detection of external faults: under voltage fault, over voltage fault, overload, single phasing and voltage unbalance. The detection of these faults is important as it will increase the reliability and efficiency of the motors.

Key Words

Induction machine, Faults, KNN

Cite This Article

"Multiple Fault Detection in Induction Motor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.151-157, February-2019, Available :http://www.jetir.org/papers/JETIREM06026.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Multiple Fault Detection in Induction Motor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp151-157, February-2019, Available at : http://www.jetir.org/papers/JETIREM06026.pdf

Publication Details

Published Paper ID: JETIREM06026
Registration ID: 306067
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 151-157
Country: Phagwara, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162


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