Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy
Reliability Engineering & System Safety(2019)
摘要
•A HMM with auto-correlated observations is developed.•A novel algorithm is presented to estimate the unknown parameters.•We discuss how to account for missing data and noise that accumulate over time.•Two RUL prediction methods based on the HMM-AO model are proposed.•An improved maintenance policy is developed based on the results of RUL prediction.
更多查看译文
关键词
Remaining useful life prediction,Preventive maintenance,Hidden Markov models,Auto-correlated observations
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络