Bayesian networks for reliability.- Using Bayesian networks in
reliability evaluation for subsea blowout preventer control
system.- Risk analysis of subsea blowout preventer by mapping GO
models into Bayesian networks.- Reliability evaluation of auxiliary
feedwater system by mapping GO-FLOW models into Bayesian networks.-
Dynamic Bayesian networks based performance evaluation of subsea
blowout preventers in presence of imperfect repair.- Performance
evaluation of subsea BOP control systems using dynamic Bayesian
networks with imperfect repair and preventive maintenance.- Dynamic
Bayesian network modelling of reliability of subsea blowout
preventer stack in presence of common cause failures.- A framework
for the reliability evaluation of grid-connected photovoltaic
systems in the presence of intermittent faults.- Real-time
reliability evaluation methodology based on dynamic Bayesian
networks.- Reliability evaluation methodology of complex systems
based on dynamic object-oriented Bayesian networks.- Bayesian
network-based risk analysis methodology, a case of atmospheric and
vacuum distillation unit.- A multiphase dynamic Bayesian networks
methodology for the determination of safety integrity levels.-
Availability-based engineering resilience metric and its
corresponding evaluation methodology.
Baoping Cai is an associate professor at the China University of Petroleum (East China), a visiting researcher of the "Hong Kong Scholar" program at the City University of Hong Kong, and a visiting researcher at the Norwegian University of Science and Technology. He is an associate editor of IEEE Access (SCI journal) and Human-Centric Computing and Information Sciences (SCI journal), an editorial board member of 3 international journals, and a leading guest editor of 1 international journal. His research interests include reliability engineering, fault diagnosis, risk analysis, and Bayesian networks methodology and application. Up to now, he has published 65 SCI-index journal papers, 4 monographs, and holds 37 patents.
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