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Rotating Electrical Machine Condition Monitoring Automation-A Review
KTH, School of Electrical Engineering (EES). ABB .
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.ORCID iD: 0000-0002-1607-2493
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.ORCID iD: 0000-0003-0759-4406
2017 (English)In: MACHINES, ISSN 2075-1702, Vol. 5, no 4, article id 24Article, review/survey (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
MDPI AG , 2017. Vol. 5, no 4, article id 24
Keywords [en]
condition monitoring, rotating electrical machine, motor fleet, plant-wide
National Category
Reliability and Maintenance
Identifiers
URN: urn:nbn:se:kth:diva-219328DOI: 10.3390/machines5040024ISI: 000415730400004Scopus ID: 2-s2.0-85034232859OAI: oai:DiVA.org:kth-219328DiVA, id: diva2:1162459
Note

QC 20171204

Available from: 2017-12-04 Created: 2017-12-04 Last updated: 2017-12-04Bibliographically approved

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Thottappillil, RajeevTaylor, Nathaniel

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Kande, MallikarjunThottappillil, RajeevTaylor, Nathaniel
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