TY - JOUR TI - Modeling the effects of the two stochastic-processes on the reliability and maintenance of k-out-of-n surveillance systems DO - https://doi.org/doi:10.7282/T36T0JZD PY - 2014 AB - Surveillance systems, including security cameras, have been widely used to monitor some critical processes and enhance the safety-security level of high-risk large-scale security systems. The failure of these systems should be analyzed and associated with the intrusion/incident arrival process in order to achieve a comprehensive representation of the system outcomes. This thesis aims to model the effects of the two stochastic processes on the reliability modeling of the surveillance systems. The two processes are: (1) the traditional system failure process (first process) and (2) the intrusion/incident arrival process or the demand process (second process). In this research we develop reliability models with considerations of the two stochastic-processes for the k-out-of-n surveillance systems. The first model considers the undetectable failures of each subsystem along with the random environmental factors, the skill factor of the intruders to avoid detection, and a periodic inspection maintenance aspect. The second model includes both the detectable and undetectable failure modes for the subsystems. The reliability of the system is derived with a consideration of an opportunistic maintenance policy. Numerical examples are given to demonstrate the validity of the modeling and the sensitivity of various model parameters. We also develop a cost model with considerations of both the detectable and undetectable failure modes for the subsystems. We then obtain the opportunistic maintenance policy that minimizes the total system cost based on the second model. We also extend the second reliability model by considering the fail-safe error for each subsystem in the two-process modeling of the k-out-of-n surveillance systems. Numerical examples are discussed to illustrate the model developments and results. KW - Industrial and Systems Engineering KW - Electronic surveillance KW - Failure analysis (Engineering) KW - Video surveillance KW - Stochastic processes LA - eng ER -