论文信息 - Engine fault feature extraction based on order tracking and VMD in transient conditions

Engine fault feature extraction based on order tracking and VMD in transient conditions

A method based on order tracking and Variational Mode Decomposition was proposed to solve the problem of non-stationarity and background noise in the vibration signal of engine. For the vibration signal of diesel engine crankshaft bearing fault and Connecting rod bearing of gasoline engine, the non-stationary signal in the time domain was converted into a pseudo stationary signal on the angular domain based on order tracking. Then the reconstructed signal was decomposed by several components by VMD, and the component that contains fault information was selected. The three-dimensional spectral array of order, speed and power spectrum was calculated, and the fault feature was extracted. The effectiveness of the proposed method is verified by simulation and experiment.

Jian Mei | Jiajia Han | Jide Jia | Xiangyu Jia | Gang Ren

[1] Dejie Yu,et al. Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings , 2005 .

[2] Zhipeng Feng,et al. Application of multi-domain sparse features for fault identification of planetary gearbox , 2017 .

[3] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[4] Dominique Zosso,et al. Variational Mode Decomposition , 2014, IEEE Transactions on Signal Processing.

[5] Yi Wang,et al. An online tacholess order tracking technique based on generalized demodulation for rolling bearing fault detection , 2016 .

[6] Guolin He,et al. A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique , 2016 .