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Conference object . 2017
License: CC BY NC ND
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Renewable Energy and Power Quality Journal
Article . 2024 . Peer-reviewed
Data sources: Crossref
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An Open-phase Fault Detection Method for Six-phase Induction Motor Drives

Authors: Ríos-García, N.; Durán, Mario J.; González Prieto, Ignacio; Martín Torres, Cristina; Barrero, Federico;

An Open-phase Fault Detection Method for Six-phase Induction Motor Drives

Abstract

Induction machines (IM) with multiple sets of three-phase windings are a real alternative in safety critical applications due to their inherent redundancy and extra number of freedom degrees. These properties can be used to develop a fault-tolerant system without extra hardware. The fault detection is mandatory in the creation of a fault tolerant system. Since, the fault localization allows to adapt the control scheme of this anomalous mode of operation. Nowadays, open-phase faults (OPFs) and six-phase IMs are hot topics in the literature of fault-tolerant drives. Thus, this paper presents an open-phase fault detection method for a six-phase IM drive. The detection method is based on the vector space decomposition (VSD), taking the components of the secondary orthogonal subspace to localize the open-phase fault. The goodness of the proposed method is validated with simulation results.

Country
Spain
Related Organizations
Keywords

open-phase fault, Multiphase motor drives, fault localization, fault detection

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    influence
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
Green
bronze