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Machine learning based fault classification for improved induction motor performance.

This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. It is found that traditional fault detection methods and deep learning approaches are both effective; however, current techniques can either be comp...

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Autori principali: Zawar Ahmed Khan, Muhammad Amir Raza, Muhammad I Masud, Touqeer Ahmed Jumani, Muhammad Faheem, Mohammed Aman
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science (PLoS) 2025-01-01
Serie:PLoS ONE
Accesso online:https://doi.org/10.1371/journal.pone.0335367
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