Bayesian Networks for Reliability Engineering
Springer Verlag, Singapore
978-981-13-6515-7 (ISBN)
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.
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.
Erscheinungsdatum | 15.03.2019 |
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Zusatzinfo | 125 Illustrations, color; 28 Illustrations, black and white; IX, 257 p. 153 illus., 125 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Bauwesen | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
Schlagworte | Bayesian networks • Parameter Modeling • Reliability Evaluation • Safety Instrumented System • structure modeling |
ISBN-10 | 981-13-6515-6 / 9811365156 |
ISBN-13 | 978-981-13-6515-7 / 9789811365157 |
Zustand | Neuware |
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