Bearing Fault Detection by Resonant Frequency Band Pursuit Using a Synthesized Criterion

Bearing fault can be detected using envelope demodulation of the bearing vibration signal in the resonant frequency band. Hence locating the correct resonant band is the key to successful application of the resonance envelope demodulation. A statistical criterion of the vibration signal can be used to guide the identification of the resonant band. However, a single criterion is often not robust in response to difference noises and interferences which are unavoidable for real bearing vibration signals. In this paper, we propose a bottom-up strategy to partition the frequency band of the vibration signal. The partitioning process is guided using a synthesized criterion that is formed by fusing multiple important criteria. The proposed technique is evaluated using both the simulated and real bearing vibration signals. The results show that the proposed technique can be used to detect bearing faults effectively.