Research on Fault Diagnosis of Certain Armored Vehicle’ Gear-Box with IMF’s Energy Moment

Abstract

Aim at the non-stationary and time-variation characteristic of the gear-box fault signal, proposing a condition identify method for gear-box based on EMD and NN. Take the vibrating signal of case as the analysis object, firstly, deal the signal with EMD, extract the IMFs’ energy moment as eigenvector, through neural network based on L-M optimization algorithm to identify gear-box fault. The result of testing certain armored vehicle reveals that method can identify a variety of conditions of gear-box effectively, and provides a availability intelligence fault diagnosis method for gear-box.