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IOP Conference Series : Earth and Environmental Science
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Improving methods for identifying electric motor parameters in case of stator winding damage

Authors: V. F. Melehin; V. N. Ivanov; A. M. Andreev; O. S. Vyatkina; L. R. Mukhametova; A. N. Alyunov; Yu G. Karpov;
Abstract
Abstract A method is proposed for estimating the parameters of electric motors. It has new properties that increase the sensitivity and efficiency in terms of detecting internal short circuits in the windings of controlled electric motors in non-stationary conditions.
Related Organizations
- Kazan State Power Engineering University Russian Federation
- Vologda State Technical University Russian Federation
- Vologda State Technical University Russian Federation
- Peter the Great St. Petersburg Polytechnic University Russian Federation
- Kazan State Power Engineering University Russian Federation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
2
Average
Average
Average
gold