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Machines 2017, 5(4), 24; doi:10.3390/machines5040024

Rotating Electrical Machine Condition Monitoring Automation—A Review

1
KTH—Royal Institute of Technology, 100 44 Stockholm, Sweden
2
ABB Power Generation, Wickliffe, OH 44092, USA
3
ABB Corporate Research, 721 78 Västerås, Sweden
Current address: 29801 Euclid Ave, Wickliffe, OH 44092, USA.
*
Author to whom correspondence should be addressed.
Received: 25 August 2017 / Revised: 3 October 2017 / Accepted: 13 October 2017 / Published: 19 October 2017
(This article belongs to the Special Issue Machinery Condition Monitoring and Industrial Analytics)
View Full-Text   |   Download PDF [1110 KB, uploaded 19 October 2017]   |  

Abstract

We review existing machine condition monitoring techniques and industrial automation for plant-wide condition monitoring of rotating electrical machines. Cost and complexity of a condition monitoring system increase with the number of measurements, so extensive condition monitoring is currently mainly restricted to the situations where the consequences of poor availability, yield or quality are so severe that they clearly justify the investment in monitoring. There are challenges to obtaining plant-wide monitoring that includes even small machines and non-critical applications. One of the major inhibiting factors is the ratio of condition monitoring cost to equipment cost, which is crucial to the acceptance of using monitoring to guide maintenance for a large fleet of electrical machinery. Ongoing developments in sensing, communication and computation for industrial automation may greatly extend the set of machines for which extensive monitoring is viable. View Full-Text
Keywords: condition monitoring; rotating electrical machine; motor fleet; plant-wide condition monitoring; rotating electrical machine; motor fleet; plant-wide
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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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Kande, M.; Isaksson, A.J.; Thottappillil, R.; Taylor, N. Rotating Electrical Machine Condition Monitoring Automation—A Review. Machines 2017, 5, 24.

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