Model parameter estimation and residual life prediction for a partially observable failing system

• Published in: Naval research logistics Vol. 62; no. 3; pp. 190 - 205
• Main Authors: Khaleghei, Akram, Makis, Viliam
• Format: Journal Article
• Language: English
• Published: New York Blackwell Publishing Ltd 01.04.2015; Wiley Subscription Services, Inc
• Subjects: Algorithms; Condition monitoring; condition-based maintenance; expectation-maximization algorithm; Failure; hidden semi-Markov model; Logistics; Markov chains; Mathematical analysis; Mathematical models; mean residual life; Naval; reliability; Warning

We consider a partially observable degrading system subject to condition monitoring and random failure. The system's condition is categorized into one of three states: a healthy state, a warning state, and a failure state. Only the failure state is observable. While the system is operational, v...