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This paper presents a parameter estimation and residual life prediction method for a system subject to condition monitoring. We suppose the deterioration process of a system is evolving according to a continuous-time homogeneous Markov chain, including unobservable good state 0 and warning state 1 and observable failure state 2. Multivariate observations which are stochastically related to the system...
Genetictic Algorithm (GA) is a widely-used high-efficiency random search and optimization method, which is geneticrated from evolution theory. This paper aims at overcoming the drawbacks of local convergence and not converging well to the globally-optimal solution, which usually exist in the course of solving optimization problems using Basic Genetic Algorithm(GA),and proposes a modified algorithm-...
In this paper, a multivariate Bayesian control chart is designed for a condition-based maintenance application. The system deterioration process is modeled as a 3-state hidden Markov process, with good, warning and failure states. Bayesian control chart is then applied to monitor the process by plotting the posterior probability that the system is in the warning state. It has been shown in the literature...
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