Non-invasive techniques for fault diagnosis of Induction Machines

Thomas, Vinod V and Bindu, S (2013) Non-invasive techniques for fault diagnosis of Induction Machines. In: 3rd International Engineering Symposium - IES 2013, March 4-6, 2013, Kumamoto University, Japan.

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Accurate means for online condition monitoring of induction motors can improve the reliability and reduce the maintenance costs. Condition monitoring involves noninvasive acquisition of vital signals, processing these signals to extract fault signatures, deciding if a fault exists and identifying its type. This paper reviews the current trends in on-line fault detection and diagnosis of induction machines and identifies future research areas.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: condition monitoring, induction machine, fault signatures
Subjects: Engineering > MIT Manipal > Electrical and Electronics
Depositing User: MIT Library
Date Deposited: 25 Mar 2013 10:13
Last Modified: 25 Mar 2013 10:13

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