Conference paper
Real time condition monitoring system for industrial motors
2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015
Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 2nd (Nadi, Fiji, 02-Dec-2015–04-Dec-2015)
Institute of Electrical and Electronics Engineers
2016
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.
Details
- Title
- Real time condition monitoring system for industrial motors
- Authors
- S S P Goundar (Author) - University of the South Pacific, FijiM R Pillai (Author) - University of the South Pacific, FijiK A Mamun (Author) - University of the South Pacific, FijiRobi Islam (Author) - University of the South Pacific, FijiR Deo (Author) - University of the South Pacific, Fiji
- Publication details
- 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015
- Conference details
- Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 2nd (Nadi, Fiji, 02-Dec-2015–04-Dec-2015)
- Publisher
- Institute of Electrical and Electronics Engineers
- Date published
- 2016
- DOI
- 10.1109/APWCCSE.2015.7476232
- ISBN
- 9781509007134
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99451107702621
- Output Type
- Conference paper
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