Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review

S Kabir, Y Papadopoulos - Safety science, 2019 - Elsevier
Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …

[HTML][HTML] Safety barriers: Research advances and new thoughts on theory, engineering and management

Y Liu - Journal of Loss Prevention in the Process Industries, 2020 - Elsevier
Safety barriers include physical and non-physical means in different industries for
preventing the occurrences of hazardous events and mitigating the consequences in case …

Bayesian networks in fault diagnosis

B Cai, L Huang, M Xie - IEEE Transactions on industrial …, 2017 - ieeexplore.ieee.org
Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and
troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals …

Application of Bayesian networks in reliability evaluation

B Cai, X Kong, Y Liu, J Lin, X Yuan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation
and inference and is increasingly used in the field of reliability evaluation. This paper …

A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks

B Cai, H Liu, M Xie - Mechanical Systems and Signal Processing, 2016 - Elsevier
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 …

A dynamic-Bayesian-network-based fault diagnosis methodology considering transient and intermittent faults

B Cai, Y Liu, M Xie - IEEE Transactions on Automation Science …, 2016 - ieeexplore.ieee.org
Transient fault (TF) and intermittent fault (IF) of complex electronic systems are difficult to
diagnose. As the performance of electronic products degrades over time, the results of fault …

Application of parameter optimized variational mode decomposition method in fault diagnosis of gearbox

Z Wang, G He, W Du, J Zhou, X Han, J Wang… - Ieee …, 2019 - ieeexplore.ieee.org
The selection of variational mode decomposition (VMD) parameters usually adopts the
empirical method, trial-and-error method, or single-objective optimization method. The …

Dynamic risk assessment methodology of operation process for deepwater oil and gas equipment

C Wang, B Cai, X Shao, L Zhao, Z Sui, K Liu… - Reliability Engineering & …, 2023 - Elsevier
Deepwater oil and gas equipment is a complex and dynamic system that requires thorough
risk assessment during its operation. Existing methods such as fault tree analysis, failure …

System operational reliability evaluation based on dynamic Bayesian network and XGBoost

Y Guo, H Wang, Y Guo, M Zhong, Q Li, C Gao - Reliability Engineering & …, 2022 - Elsevier
This paper proposes a methodology to evaluate system operational reliability. The dynamic
Bayesian network (DBN) and XGBoost are integrated within an evaluation framework. The …

A data-driven Bayesian network model integrating physical knowledge for prioritization of risk influencing factors

H Meng, X An, J Xing - Process Safety and Environmental Protection, 2022 - Elsevier
The coupling of multiple factors stemming from propagation effects and interdependency
relationships among risks is prone to generate major accidents. It is of necessity to develop …