关键词: 粒子滤波, 重采样, 烟花算法, 轴承, 剩余寿命

Abstract: Bearing is the one of important components of electro-hydraulic actuator, so accurate prediction of the remaining useful life for the bearing has a great engineering significance. Particle filter is suitable for nonlinear and nonGaussian systems. However, the problem of particles' degradation affects its performance, so the improved particle filter is used to predict the remaining useful life of the bearing. Firstly, in order to solve the problem of particles' degradation, the fireworks algorithm is ameliorated from the aspects of operation and selection strategy, and the enhanced fireworks algorithm is utilized to design the resampling process of particle filter. Then, timedomain characteristic, the root mean square value of vibration acceleration signal is extracted as the health index of the bearing, which can reflect the wear degree of the bearing effectively. Meanwhile, the degradation state equation of the bearing is established based on the Paris-Erdogan model, in which parameters are identified by the least square method. Finally, the prediction of remaining useful life for the bearing of electro -hydraulic actuator is realized. The result indicates that the proposed particle filter can well predict the remaining useful life of the bearing.

Key words: particle filter, resampling, fireworks algorithm, bearing, remaining useful life