@article{(Open Science Index):https://publications.waset.org/pdf/9999428, title = {Optimal Maintenance Policy for a Partially Observable Two-Unit System}, author = {Leila Jafari and Viliam Makis and Akram Khaleghei G.B.}, country = {}, institution = {}, abstract = {In this paper, we present a maintenance model of a two-unit series system with economic dependence. Unit#1 which is considered to be more expensive and more important, is subject to condition monitoring (CM) at equidistant, discrete time epochs and unit#2, which is not subject to CM has a general lifetime distribution. The multivariate observation vectors obtained through condition monitoring carry partial information about the hidden state of unit#1, which can be in a healthy or a warning state while operating. Only the failure state is assumed to be observable for both units. The objective is to find an optimal opportunistic maintenance policy minimizing the long-run expected average cost per unit time. The problem is formulated and solved in the partially observable semi-Markov decision process framework. An effective computational algorithm for finding the optimal policy and the minimum average cost is developed, illustrated by a numerical example. }, journal = {International Journal of Mechanical and Mechatronics Engineering}, volume = {8}, number = {9}, year = {2014}, pages = {1612 - 1619}, ee = {https://publications.waset.org/pdf/9999428}, url = {https://publications.waset.org/vol/93}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 93, 2014}, }