Motor Watch-Motor Fault Signature Analysis

Haidy H. Al-Leythi, Zainab A. Mohammed, Detlef Hummes, Ghulam Amjad Hussain, Cyrille Caironi, Bernhard Fruth

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Induction motors (IM) are the major components in process industry. Any type of fault in IMs may lead to process interruption and economic losses. The objective of Motor Watch is to develop a unique method for online monitoring of induction motor, with different simulated failures on the mechanical part. The mechanical distortion is studied are shaft misalignment and unbalance. The main idea is to detect and analyze the fingerprints of various types of faults through an online monitoring system. The paper proposes detection and monitoring of distortions such as vibration and motor speed analysis. Through online monitoring, decisions can be made in real time after early detection of faults and notify the maintenance team for rectification or immediate actions.

Original languageEnglish
Title of host publication2018 International Conference on Computing Sciences and Engineering, ICCSE 2018 - Proceedings
EditorsHazem Raafat, Mostafa Abd-El-Barr, Muhammad Sarfraz, Paul Manuel
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538646809
DOIs
StatePublished - 5 Jun 2018
Event2nd International Conference on Computing Sciences and Engineering, ICCSE 2018 - Kuwait City, Kuwait
Duration: 11 Mar 201813 Mar 2018

Publication series

Name2018 International Conference on Computing Sciences and Engineering, ICCSE 2018 - Proceedings

Conference

Conference2nd International Conference on Computing Sciences and Engineering, ICCSE 2018
Country/TerritoryKuwait
CityKuwait City
Period11/03/1813/03/18

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