TY - JOUR
T1 - A generalized surveillance model with applications to systems safety
AU - Pham, Hoang
AU - Xie, Minge
N1 - Funding Information: Manuscript received April 8, 2002. This work was supported in part by the FAA William J. Hughes Technical Center under Grant 98-G-006 and by the NSF under Grant DMS-9 803 273. The authors are with Rutgers University, Piscataway, NJ 08854 USA (e-mail: [email protected]). Digital Object Identifier 10.1109/TSMCC.2002.807278
PY - 2002/11
Y1 - 2002/11
N2 - This paper presents a generalized surveillance model for predicting the performance of complex systems consisting of many subsystems (units). These subsystems are frequently inspected to keep the entire system operating satisfactorily. Systems of this type are encountered in many areas, including nuclear power plant, national defense system, transportation stations, medical monitoring control rooms, etc. The particular application that motivated a development of this model is an FAA project, where we were asked to develop a surveillance model to better understand both the inspection process and the repair station itself and to provide information that can be used to assist inspectors in scheduling and prioritizing their visits to the stations. A distinguishing feature of this surveillance model is that it combines two mutually dependent stochastic processes. One is a two-stage stochastic process for the occurrence of unfavorable condition in an individual subsystem and the other is a nonhomogeneous Poisson process (NHPP) for the frequency of surveillance.
AB - This paper presents a generalized surveillance model for predicting the performance of complex systems consisting of many subsystems (units). These subsystems are frequently inspected to keep the entire system operating satisfactorily. Systems of this type are encountered in many areas, including nuclear power plant, national defense system, transportation stations, medical monitoring control rooms, etc. The particular application that motivated a development of this model is an FAA project, where we were asked to develop a surveillance model to better understand both the inspection process and the repair station itself and to provide information that can be used to assist inspectors in scheduling and prioritizing their visits to the stations. A distinguishing feature of this surveillance model is that it combines two mutually dependent stochastic processes. One is a two-stage stochastic process for the occurrence of unfavorable condition in an individual subsystem and the other is a nonhomogeneous Poisson process (NHPP) for the frequency of surveillance.
KW - Maintenance
KW - Nonhomogeneous Poisson process
KW - Reliability
KW - Stochastic processes
KW - Surveillance model
KW - System safety
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U2 - 10.1109/TSMCC.2002.807278
DO - 10.1109/TSMCC.2002.807278
M3 - Article
SN - 1094-6977
VL - 32
SP - 485
EP - 492
JO - IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
JF - IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
IS - 4
ER -