Bearing Rolling Element Fault Diagnosis

The diagnosis of rolling bearing rolling element failure is a critical process in ensuring the reliability and longevity of the bearing. In this case, the fault has been identified as localized peeling of the rolling element, which can be caused by factors such as poor lubrication, excessive load, or material defects. From a signal processing perspective, implementing this diagnosis typically involves spectral analysis algorithms using FFT (Fast Fourier Transform) to identify characteristic frequencies in vibration data. Code implementation would require calculating the bearing's geometric parameters and rotational speed to derive theoretical fault frequencies, then comparing them with peaks detected in the frequency spectrum. The fault characteristic frequency in this case has been calculated to be 218.98Hz based on the theoretical calculation of the outer ring passing frequency or its multiples. Diagnosis algorithms often employ envelope analysis or wavelet transform techniques to enhance fault signatures in noisy environments. By carefully analyzing the fault signature through these signal processing methods and identifying potential root causes, appropriate corrective actions can be taken to prevent future failures and improve the overall performance of the bearing system.