Wang Peng

TL;DR: In this paper, a bearing fault diagnosis method under a strong noise variable speed condition based on an energy weight method was proposed, which comprises the steps: extracting a vibration signalorder through employing a time-frequency ridge feature point linear interpolation and masking algorithm method according to a timefrequency representation graph based on Gabor transformation; performing instantaneous frequency estimation and secondary fitting on the vibration signal by using a local extremum search algorithm and the extracted order; carrying out equal-angle resampling on the vibrations signal by utilizing a key phase time scale method according according to the fitted instantaneous frequency