Study on Motor Fault Diagnosis Based on Wavelet Packet Analysis and Directed Acyclic Graph Support Vector Machine
Fan Bing-kui · Coal Mine Machinery · 2009
Aiming at the characteristics of motor vibration signal,a fault diagnosis method is put forward based on wavelet packet analysis and directed acyclic graph support vector machine.Motor vibration signals under different fault conditions is decomposed and reconstructed with the theory wavelet packet,the frequency branch energy are picked out as eigenvector.Then the mapping relation from eigenvector to fault modes is established with directed acyclic graph support vector machine that the motor fault analysis is achieved.As proved in the simulation,the method is effective to diagnose motor fault accurately.