An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

The remaining useful life (RUL) prediction of rolling element bearings has attracted substantial attention recently due to its importance for the bearing health management. The exponential model is one of the most widely used methods for RUL prediction of rolling element bearings. However, two shortcomings exist in the exponential model: 1) the first predicting time (FPT) is selected subjectively; and 2) random errors of the stochastic process decrease the prediction accuracy. To deal with these two shortcomings, an improved exponential model is proposed in this paper. In the improved model, an adaptive FPT selection approach is established based on the 3σ interval, and particle filtering is utilized to reduce…

• NN
  National Natural Science Foundation of China

  Awards: 51475355, 51222503
• FR
  Fundamental Research Funds for the Central Universities

  Awards: 2012jdgz01, CXTD2014001