Gearbox Fault Diagnosis Based on Kalman and BP
FU Liu-h · Mechanical Engineering & Automation · 2014
In the practical engineering,the gearbox fault diagnosis information always has low SNR(Signal-to-noise ratio),it increases the difficulty of the real feature extraction and reduces the fault diagnosis accuracy.This paper presents a technology of gearbox fault diagnosis,which is based on Kalman and BP.Through analyzing the simulated data and the experimental data,this fusion algorithm makes the diagnosis accuracy obviously improved.