Abstract：The purpose of this paper is to study the vibration fault diagnosis for the mine ventilator of extracting feature.The wavelet packet and Hilbert transformation were combined to apply the fault diagnosis for the rolling bearing of a mine ventilator.The engineering applications showed that the fault characteristic frequency of the bearing inner ring of a mine ventilator can be extracted with this method.In addition, the shaft-misalignment as well as the precise fault diagnosis of a mine ventilator were diagnosed and realized.

Keyword：wavelet analysis;Hilbert transformation;rolling bearing;fault diagnosis;