Ai-enhanced fault diagnosis in rolling element bearings: A comprehensive vibration analysis approach
Prasanta Samal,
K. Sunil,
Imran Jamadar
et al.
Abstract:This research presents a comprehensive approach for bearing fault diagnosis using artificial intelligence (AI), particularly through the application of artificial neural networks (ANNs). By integrating these networks into vibration analysis, the approach aims to meet the critical need for prompt fault detection. The methodology comprises three key steps: vibration signal acquisition, feature extraction, and fault classification. Experiments were conducted to acquire vibration signals for the test bearings on a… Show more
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