De-noising method research on bearing fault signal based on particle filter
Pan Hong-xia, Men Jifang · 2010
Bearing is a part that easily occur fault, because of its harsh working environment, the vibration signal that is needed for fault diagnosis is usually mixed with relatively complex noise signal, so it needs to conduct noise reduction firstly. As a state estimation method, simulation analysis shows that particle filter has superior result on signal de-noising processing. Finally, apply the particle filter noise reduction idea in noise reduction processing of the bearing fault vibration signal collected from the laboratory, and result shows the noise reduction effect is better.