@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},
	}