Signal Reconstruction using Inter-microphone Time Difference for Bearing Fault Diagnosis

The separation of mixed signals is one of the focuses of research related to acoustic signal processing. Mixed signals can be obtained from unpredictable environments. In this research, we will use the inter-microphone time difference (ITD) approach to reconstruct the acoustical signal of machinery, which is the signal target of some interfering signal. We add artificial noise as interfering signals in our setup experiment. The signal reconstruction results of each interference signal are represented in the form of a spectrogram. Some of the reconstructed spectrograms have the highest amplitude, around 22x rpm. The harmonic frequency pattern shows that bearing fault diagnosis is found at 6x rpm, 8x rpm, 17x rpm, 20x rpm, 22x rpm, and 24x rpm. It corresponds to the baseline signal. The spectrogram of the reconstructed signal from the sine noise using ITD is closest to the signal target as a bearing fault signal with an LSD of 1.261.