The Identification of Status Parameters in Gearbox Fault Diagnosis

To make fault diagnosis of the status types on the gearbox in a gear box factory line,In this paper, we take gears,shafts,bearings and other major parts as the research objects,and analyse the vibration signals collected.Then we propose cluster analysis method to extract sensitive characteristic parameters.This method can effectively eliminate the interference of the redundant parameters,and improves the accuracy of the parameter training of SVM pattern recognition process,and set up fault pattern recognition model concerned with the defination of workers’,so the accuracy of gearbox intelligent fault diagnosis and the consistency of the diagnosis can be improved.