A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks
Bayesian network (BN) is a commonly used tool in probabilistic reasoning of uncertainty in
industrial processes, but it requires modeling of large and complex systems, in situations …
industrial processes, but it requires modeling of large and complex systems, in situations …
Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network
In order to increase the diagnostic accuracy of ground-source heat pump (GSHP) system,
especially for multiple-simultaneous faults, the paper proposes a multi-source information …
especially for multiple-simultaneous faults, the paper proposes a multi-source information …
Rock burst monitoring and early warning under uncertainty based on multi-information fusion approach
J Wang, E Wang, W Yang, B Li, Z Li, X Liu - Measurement, 2022 - Elsevier
Rock burst monitoring and early warning is known as a challenging problem in underground
engineering. Existing research mainly focuses on forecast the rock burst using single …
engineering. Existing research mainly focuses on forecast the rock burst using single …
A dynamic Bayesian network based methodology for fault diagnosis of subsea Christmas tree
P Liu, Y Liu, B Cai, X Wu, K Wang, X Wei, C **n - Applied Ocean Research, 2020 - Elsevier
A subsea Christmas tree (XT) is an extremely important part of a subsea production system.
The safety-fault of subsea XT indicates that no major safety incidents are difficult to …
The safety-fault of subsea XT indicates that no major safety incidents are difficult to …
Security risk assessment of submerged floating tunnel based on fault tree and multistate fuzzy Bayesian network
D Qiao, X Zhou, X Ye, G Tang, L Lu, J Ou - Ocean & Coastal Management, 2024 - Elsevier
To assess the global security risks of the submerged floating tunnel (SFT) in marine
environments during operation and provide a basis for risk control, a security risk …
environments during operation and provide a basis for risk control, a security risk …
[HTML][HTML] Bayesian network model for flood forecasting based on atmospheric ensemble forecasts
The purpose of this study is to propose the Bayesian network (BN) model to estimate flood
peaks from atmospheric ensemble forecasts (AEFs). The Weather Research and …
peaks from atmospheric ensemble forecasts (AEFs). The Weather Research and …
Learning branching heuristics for propositional model counting
Propositional model counting, or# SAT, is the problem of computing the number of satisfying
assignments of a Boolean formula. Many problems from different application areas …
assignments of a Boolean formula. Many problems from different application areas …
Application of Bayesian networks based on Sequential Monte Carlo simulation and physical model in fault diagnosis of horizontal three-phase separator system
D Liu, S Song, T Huang, S Shen, X Li, J Gong - Ocean Engineering, 2024 - Elsevier
In offshore production platforms, horizontal three-phase separator is common process
equipment. Its main function is to complete the dehydration and degassing of crude oil …
equipment. Its main function is to complete the dehydration and degassing of crude oil …
Interactive mining with ordered and unordered attributes
There are various queries proposed to assist users in finding their favorite tuples from a
dataset with the help of user interaction. Specifically, they interact with a user by asking …
dataset with the help of user interaction. Specifically, they interact with a user by asking …