Industrial fault signals propagation and current signature analysis

Gheitasi, Alireza and Anbuky, Adnan (2013) Industrial fault signals propagation and current signature analysis. Journal of Energy and Power Engineering, 7 . pp. 361-369. ISSN 1934-8975

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Official URL: http://davidpublishing.org/davidpublishing/journal...

Abstract or Summary

Motor current signature analysis provides good results in laboratory environment. In real life situation, electrical machines usually share voltage and current from common terminals and would easily influence each other. This will result in considerable amount of interferences among motors and doubt in identity of fault signals. Therefore, estimating the mutual influence of motors will help identifying the original signal from the environmental noise. This research aims at modelling the propagation of signals that are caused by faults of induction motors in power networks. Estimating the propagation pattern of fault signal leads to a method to discriminate and identify the original source of major events in industrial networks. Simulation results show that source of fault could be identified using this approach with a higher certainty than anticipated output coming from any individual diagnosis.

Item Type:Journal article
Keywords that describe the item:Motor current signature analysis, signal interference, decision making, signal propagation
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Schools > Centre for Science and Primary Industries
ID Code:3013
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Deposited On:03 Feb 2014 02:50
Last Modified:03 Feb 2014 02:50

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