Cited by 531Machine Fault Diagnosis TechniquesElectric Motor Design and AnalysisReliability and Maintenance Optimization

The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.

Review of condition monitoring of rotating electrical machines

Open access
Tavner, P.J.·2008·IET Electric Power Applications

Abstract

Condition monitoring of rotating electrical machinery has received intense research interest for more than 30 years. However, electrical machinery has been considered reliable and the application of fast-acting digital electrical protection has rather reduced the attention operators pay to the equipment. The area based upon current literature and the author's experience is reviewed. There are three restrictions: only on-line techniques for rotating machines are dealt with; specific problems of variable speed drives are not dealt with, except in passing; conventional rather than emerging brushless, reluctance and permanent magnet machines of unusual topology are concentrated upon. The art of condition monitoring is minimalist, to take minimum measurements from a machine necessary to extract a diagnosis, so that a condition can be rapidly inferred, giving a clear indication of incipient failure modes. The current state of the art is reviewed in the following ways: survey developments in condition monitoring of machines, mechanically and electrically, over the last 30 years; put that work in context alongside the known failure mechanisms; review those developments which have proved successful and identify areas of research which require attention in the future to advance the subject.

Overview

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Crossref · 10.1049/iet-epa:20070280

Cites

106 of 106 references verified0 citation errors · 0 not checkable

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Citations

Cites

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Research works printed but not linked: 50

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Metadata

Authors
Tavner, P. J.
Affiliations
Durham University (GB)
Corresponding author
Tavner, P.J.
Venue
IET Electric Power Applications
Published
2008-07
Volume
2
Issue
4
Pages
215-247
ISSN
  • 1751-8660 (ISSN-L)
  • 1751-8679
OpenAlex
W2011643344
Cited by
531
References
106
Citations by year
2026: 13 · 2025: 17 · 2024: 21 · 2023: 30 · 2022: 27 · 2021: 33 · 2020: 53 · 2019: 46 · 2018: 46 · 2017: 41 · 2016: 33 · 2015: 32 · 2014: 34 · 2013: 36 · 2012: 23
FWCI
28.31
Type
journal article
Language
en
Licence
cc-by
Locations
  • IET Electric Power Applications (publishedVersion)
  • Durham Research Online (Durham University) (acceptedVersion)
  • Durham Research Online (Durham University) (submittedVersion, cc-by)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Motor Design and Analysis
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
Keywords
condition monitoring, rotating electrical machines, online monitoring, fault diagnosis, incipient failure, failure mechanisms, induction motor, synchronous machines, variable frequency drive, brushless machines, reluctance machines, permanent magnet machines

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