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Machines 2017, 5(4), 27; doi:10.3390/machines5040027

The Decision making System for Condition Monitoring of Induction Motors Based on Vector Control Model

Electrical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia
Received: 23 October 2017 / Revised: 7 November 2017 / Accepted: 9 November 2017 / Published: 12 November 2017
(This article belongs to the Special Issue Machinery Condition Monitoring and Industrial Analytics)
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Abstract

Induction motors are mainly used for variable load applications and it is vital to have a condition monitoring system with capabilities to diagnose motor faults in variable load conditions. The environment noise varies has non-linear relation with motor load and it challenges the decision making capability of the condition monitoring system. This paper addresses the issue of reliable decision making on the existence of bearing faults in variable load conditions. Two type of threshold schemes have been proposed to reliably diagnose bearing faults in Park vector modulus spectrum. The performance of the developed threshold based condition monitoring system has been analyzed theoretically and experimentally. View Full-Text
Keywords: condition monitoring; reliable decision making; reliable fault diagnosis; induction motor condition monitoring; reliable decision making; reliable fault diagnosis; induction motor
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Alwadie, A. The Decision making System for Condition Monitoring of Induction Motors Based on Vector Control Model. Machines 2017, 5, 27.

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