Doppler effect reduction based on microphone arrays for wayside acoustic defective bearing diagnosis

The wayside Acoustic Defective Bearing Detector (ADBD) system plays an important role to maintain the safety of the railway transport. Due to the system acquired acoustic signal from a passing train by stationary microphones, it should be noted that the acquired signal is severely distorted by the Doppler Effect, which is an obstacle for defective bearings detection. This paper proposes a hardly needing prior knowledge method, called angle interpolation resampling (AIR) based on a microphone array, to remove the Doppler distortion embedded in the acoustic signal, and verifies it by means of simulation case and experiment case. The results indicate that the proposed AIR method has the superior performance in removing the Doppler distortion and has obvious advantages for ADBD system.