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The Bearing Faults Detection Methods for Electrical Machines—The State of the Art

Electrical machines are prone to faults and failures and demand incessant monitoring for their confined and reliable operations. A failure in electrical machines may cause unexpected interruptions and require a timely inspection of abnormal conditions in rotating electric machines. This article aims...

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Autori principali: Muhammad Amir Khan, Bilal Asad, Karolina Kudelina, Toomas Vaimann, Ants Kallaste
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2022-12-01
Serie:Energies
Soggetti:
bearing fault diagnosis
condition monitoring
feature extraction
fault detection and diagnoses
principal component analysis
neural networks
Accesso online:https://www.mdpi.com/1996-1073/16/1/296
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