Fault Diagnosis Technology Of A Vehicles Gearbox Based On LMD And DS Evidence

The special vehicle powertrain transmission applications in a harsh environment, as the core component, gearbox long withstand large loads and strong impact, prone to all kinds of gear, bearing failure.The paper research on gearbox fault diagnosis technology for strong interference environment research.The main contents include:(1) The paper discusses the gearbox fault diagnosis technology and nformation fusion technology. Design and build a platform bench test, manufacture pieces of gear bearings failures nearly a hundred pieces, took a comprehensive set of test failure signal, providing a foundation for study.(2) Research on fault diagnosis technology LMD decomposition method, combined with wavelet denoising, kurtosis indicators Combined Teager operator demodulation capability to diagnose. The results show that, LMD improved method combines Tegear operator demodulation gearbox fault diagnosis can be effectively applied to strong interference environment. this paper proposes a method to identify and measure the radial bearing wear.(3) Studied the intelligent fault diagnosis based on neural network model, extracting characteristic from characteristic values, wavelet decomposition eigenvalues, LMD decomposition eigenvalues as a diagnostic model inputs, characteristic values, wavelet decomposition eigenvalues, LMD decomposition eigenvalues as a diagnostic model inputs, The results show that the diagnostic accuracy can reached to88%.(4) Analysis of DS evidence theory based on information fusion, and proposed improvement strategies evidence theory.The experiments show that,the improve LMD and DS evidence theory of fusion diagnostic method that can be effectively applied to the gearbox fault diagnosis strong interference environment, the diagnostic accuracy can reached to96%.