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

Electrical machines are prone to faults and failures demand incessant monitoring for their confined reliable operations. A failure in electrical may cause unexpected interruptions require a timely inspection of abnormal conditions rotating electric machines. This article aims summarize an up-to-date overview all types bearing diagnostic techniques by subdividing them into different categories. Different fault detection diagnosis (FDD) discussed briefly prognosis numerous that frequently occur Conventional approaches, statistical artificial intelligence-based architectures such as machine learning deep summarily the arise revolving The most advanced trends diagnoses frequent based on intelligence novel applications reviewed. Future research directions helpful enhance performance conventional, statistical, (machine learning, learning) approaches well addressed provide hints future work.