Residential College | false |
Status | 已發表Published |
Research of predicting machine's remaining useful life based on statistical pattern recognition and auto-regressive and moving average model | |
Liao W.-Z.2; Pan E.-S.1; Wang Y.1; Xi L.-F.1 | |
2011-07-01 | |
Source Publication | Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University |
ISSN | 10062467 |
Volume | 45Issue:7Pages:1000-1005 |
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. |
Keyword | Auto-regressive and moving average (ARMA) model Health index (HI) Prediction Remaining useful life (RUL) Statistical pattern recognition (SPR) |
URL | View the original |
Language | 英語English |
Fulltext Access | |
Document Type | Journal article |
Collection | University of Macau |
Affiliation | 1.Shanghai Jiao Tong University 2.Chongqing University |
Recommended Citation GB/T 7714 | Liao W.-Z.,Pan E.-S.,Wang Y.,et al. Research of predicting machine's remaining useful life based on statistical pattern recognition and auto-regressive and moving average model[J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2011, 45(7), 1000-1005. |
APA | Liao W.-Z.., Pan E.-S.., Wang Y.., & Xi L.-F. (2011). Research of predicting machine's remaining useful life based on statistical pattern recognition and auto-regressive and moving average model. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 45(7), 1000-1005. |
MLA | Liao W.-Z.,et al."Research of predicting machine's remaining useful life based on statistical pattern recognition and auto-regressive and moving average model".Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 45.7(2011):1000-1005. |
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