A review on Fault Diagnosis methods for Bearings and Fan Faults Using Vibration Analysis

Roller bearings and Deep Groove Ball bearings play a very important role in industrial machines and machine components. However, the reliability of bearings can be compromised due to faults occurring in races, i.e. Inner and Outer and ball faults. Such faults, compromise machine life, performance as well as operator safety. So, condition monitoring of these becomes extremely necessary. Consequently, many studies have been published to establish techniques for fault diagnosis in bearings. Vibration Analysis method is widely used methodology for fault diagnosis in bearings. This Analysis is done in Time-domain, Frequency-domain and Time-Frequency domain. This review paper presents an overview on different methods of diagnosis in such domains like, Wavelet Transform, Fast Fourier Transform, Short Time Fourier Transform, and Hilbert-Huang Transform. Additionally, recent advancements in signal processing have been discussed in this paper.