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Review of condition monitoring of rotating electrical machines
Open accessAbstract
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.
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The use of BEMF analysis is characterized by the lack of robustness to temperature changes of PMs, but the method is simple to implement.
“The use of BEMF analysis is characterized by the lack of robustness to temperature changes of PMs [3], but the method is simple to implement [29], [95].”
From Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges (2022) · cites this paper as [3]
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Bearing fault detection in synchronous machine based on the statistical analysis of stator current
Picot, A., Obeid, Z., Regnier, J., Maussion, P., Poignant, S., & Darnis, O. (2012) · IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society · doi:10.1109/iecon.2012.6389275 · Cited by 18
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
- Open access
- 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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