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Cited by 573

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Open access
Riera-Guasp, Martin, Antonino-Daviu, Jose A., Capolino, Gerard-Andre·2015·IEEE Transactions on Industrial Electronics

Abstract

Recently, research concerning electrical machines and drives condition monitoring and fault diagnosis has experienced extraordinarily dynamic activity. The increasing importance of these energy conversion devices and their widespread use in uncountable applications have motivated significant research efforts. This paper presents an analysis of the state of the art in this field. The analyzed contributions were published in most relevant journals and magazines or presented in either specific conferences in the area or more broadly scoped events.

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Cites

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Citations

Cites

Show all 65 references

Research works printed but not linked: 34

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  18. fernández gómez, 0, Mathematical modeling of eccentricities in induction machines by the mono-harmonic model, Proc 9th IEEE Int SDEMPED, 317
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  27. 10.1109/IECON.2010.5674998 · doi:10.1109/iecon.2010.5674998
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Cited by

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Metadata

Authors
Riera-Guasp, M., Antonino-Daviu, J. A., & Capolino, G.-A.
Venue
IEEE Transactions on Industrial Electronics
Published
2015-03
Volume
62
Issue
3
Pages
1746-1759
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2014526686
Cited by
573
References
65
FWCI
46.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art. https://app.cochat.ai/papers/10.1109/tie.2014.2375853
The paper
Riera-Guasp, M., Antonino-Daviu, J. A., & Capolino, G.-A. (2015). Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2014.2375853

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.