International Society of Science and Applied Technologies |
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A Cost Model of an Opportunistic Maintenance Policy on k-out-of-n Surveillance Systems Considering Two Stochastic Processes | ||||
Author | Yao Zhang
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Co-Author(s) | Hoang Pham
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Abstract | Surveillance systems including security camera have been widely used to monitor some critical processes and enhance the safety-security level of high-risk large-scale security systems. With the earlier development of the reliability model considering the two stochastic processes, optimal maintenance policies can be obtained under related cost assumptions. In this study, a cost model on the opportunistic maintenance policy of a k-out-of-n surveillance system with consideration of the two stochastic processes is developed. The model includes maintenance cost dependent on the expected number of failed subsystems and penalty terms due to both soft and hard failures of the system. An algorithm to obtain the optimal maintenance policy is provided. Several numerical examples are given to demonstrate the validity of the modeling and the sensitivity of different parameters.
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Keywords | Surveillance model, reliability, multiple processes, multi-state component, opportunistic maintenance | |||
Article #: 20329 |
August 7-9, 2014 - Seattle, Washington, U.S.A. |