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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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Kaydedildi:
Asıl Yazarlar: Muhammad Amir Khan, Bilal Asad, Karolina Kudelina, Toomas Vaimann, Ants Kallaste
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2022-12-01
Seri Bilgileri:Energies
Konular:
bearing fault diagnosis
condition monitoring
feature extraction
fault detection and diagnoses
principal component analysis
neural networks
Online Erişim:https://www.mdpi.com/1996-1073/16/1/296
Etiketler: Etiketle
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