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A Comparative Study of Mcsa and Zsv-Based Methods for Diagnosing Inter-Turn Short-Circuit Faults in Induction Motors

AuthID
P-018-0KN

Author(s)

Houili, M

Sahraoui, M

Laadjal, K

Marques Cardoso, J

Alloui, A

Tipo de Documento

Proceedings Paper

Year published

2024

Publicado

in 2024 IEEE International Conference on Artificial Intelligence and Green Energy, ICAIGE 2024

Conference

2024 Ieee International Conference on Artificial Intelligence and Green Energy, Icaige 2024, Date: 10 October 2024 through 12 October 2024, Location: Yasmine Hammamet

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Publication Identifiers

DOI: 10.1109/icaige62696.2024.10776654

SCOPUS: 2-s2.0-85215539917

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A Comparative Study of Mcsa and Zsv-Based Methods for Diagnosing Inter-Turn Short-Circuit Faults in Induction Motors

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A Comparative Study of Mcsa and Zsv-Based Methods for Diagnosing Inter-Turn Short-Circuit Faults in Induction Motors

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