Remaining Life Prediction Method of Mechanical Equipment Based on K-S Test and Dynamic Grey Model

Based on the K-S test and dynamic gray model,a remaining life prediction method for mechanical equipment was proposed. Degradation index was described by K-S distance which was based on Kolmogorov-Smirnov,and degradation index sequence was used for training dynamic gray model. Then by updating model parameters,predicting the trends of degradation indices and determining the number of steps that reach the set failure threshold,the remaining life of mechanical equipment was calculated. Finally the proposed method was tested and verified with whole life experiment data of rolling bearing and it was compared with quadratic curve fitting prediction and static gray model prediction. The results show that this method can better predict the remaining life of bearing and has higher prediction accuracy.