Journal of Shanghai Jiaotong University ›› 2011, Vol. 45 ›› Issue (07): 1000-1005.

• Automation Technique, Computer Technology • Previous Articles     Next Articles

Research of Predicting Machine’s Remaining Useful Life Based on Statistical Pattern Recognition and Auto-regressive and Moving Average Model

 LIAO  Wen-Zhu-1, PAN  尔Shun-2, WANG  Ying-2, XI  Li-Feng-2   

  • Received:2010-07-28 Online:2011-07-29 Published:2011-07-29

Abstract: Considering the important applications of predictive maintenance (PdM) today, it becomes essential to acquire machine’s condition and its deterioration process. A machine’s remaining useful life (RUL) model was proposed in which a statistical pattern recognition (SPR) method is developed to estimate machine’s health index (HI) and an autoregressive and moving average (ARMA) model is used to predict machine’s RUL based on HI information, which greatly supports PdM planning. Through a case study, the computational results show that the proposed model is efficient and practical.

Key words:  health index (HI), statistical pattern recognition (SPR), autoregressive and moving average (ARMA) model, remaining useful life (RUL), prediction

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