Application of Random Average Method in Remain Useful Life Prediction of Rolling Bearing

摘要

Remain useful life (RUL) prediction technology which is significant in the condition based maintenance (CBM) is a hot research topic nowadays. Rolling bearing is a basic component widely used in the mechanical industry, and its reliability affects the operation of rotating machinery. On the basis of traditional RUL technology for rolling bearing, a method named random average method (RAM) is introduced into RUL prediction and the implementation of it is instructed in detail via the processing of vibration data in full life of rolling bearing. Compared to traditional method, the proposed method based on RAM is better in both accuracy and timeliness.