Analysis of the Induction Motor used in Temperature Controller Machine by condition based Monitoring System

Author(s):

Kalpesh J Parekh , ITM UNIVERSE,VADODARA; Shailesh Kumar Bhupat Bhai Solanki, ITM UNIVERSE,VADODARA; Bharat Bhai Ramesh Bhai Vankar, ITM UNIVERSE,VADODARA; Hemant Dinesh Bhai Raval, ITM UNIVERSE,VADODARA; Ravi M Joshi, RPG LTD

Keywords:

Artificial intelligence techniques for fault diagnosis, Condition monitoring, Fault detection and diagnosis, Induction motor

Abstract:

Condition monitoring of induction motor have been a challenging task for the engineers and researchers mainly in industries. There are many condition monitoring methods, including visual monitoring, vibration monitoring, thermal monitoring, chemical monitoring, acoustic emission monitoring but all these monitoring methods require expensive sensors or specialized tools whereas current monitoring out of all does not require additional sensors and analyzers. Current monitoring techniques are usually applied to detect the various types of 3-phase induction motor faults such as Rotor fault, short winding fault, air gap eccentricity fault, bearing fault, load fault etc. If any fault and failures occurs in the induction motor in any time can lead to excessive downtimes and causes a great losses in terms of revenue and maintenance. Therefore, condition monitoring for early fault detection of the motor is needed for the protection of the motor. In the present paper, survey of different types of faults in induction motor generate and their diagnosis techniques.

Other Details:

Manuscript Id	:	IJSTEV3I10106
Published in	:	Volume : 3, Issue : 10
Publication Date	:	01/05/2017
Page(s)	:	154-162

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