Real time condition monitoring system for industrial motors

S. S. Goundar, M. R. Pillai, K. A. Mamun, F. R. Islam, R. Deo

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

23 Citations (Scopus)

Abstract

In generally, predictive maintenance of induction motors is well suited for small to larger scale industries in order to reduce downtime, increase efficiency and reliability. In this paper, the vibration and temperature of the induction motor is analyzed in order to gather specific information that can predict motor's bearing failure. Well analyzed vibration signal easily shows the difference between the running operation of the healthy and faulty motor. Using IoT, this paper shows Real Time Condition Monitoring System for Industrial Motors.

Original languageEnglish
Title of host publication2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781509007134
DOIs
Publication statusPublished - 20 May 2016
Externally publishedYes
EventAsia-Pacific World Congress on Computer Science and Engineering 2015 - Denarau Island, Fiji
Duration: 4 Dec 20156 Dec 2015
Conference number: 2nd
http://ilab-australia.org/apwconcse2016/

Publication series

Name2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015

Conference

ConferenceAsia-Pacific World Congress on Computer Science and Engineering 2015
Abbreviated titleAPWC on CSE 2015
Country/TerritoryFiji
CityDenarau Island
Period4/12/156/12/15
Internet address

Keywords

  • Induction Motor
  • Internet of Things
  • Vibration Analysis

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