Article
Engineering, Civil
Wouter Jan Klerk, Vera van Bergeijk, Wim Kanning, Rogier Wolfert, Matthijs Kok
Summary: This paper examines the reliability of flood defence systems under shock-based degradation and compares different maintenance concepts. The results show that the current maintenance concept fails to meet the reliability requirements for revetment failure. Additional inspections and targeted interventions can significantly reduce total cost and improve the robustness of flood defence systems.
Article
Engineering, Industrial
Dooyoul Lee, Kybeom Kwon
Summary: In this study, a Dynamic Bayesian network (DBN) model is developed to accurately represent the aircraft structural integrity program (ASIP) method and update the crack length distribution based on nondestructive testing (NDT) reliability and repair crack length distribution. The proposed model overcomes limitations of existing models by appropriately considering the repair crack length distribution and has a wide range of applications.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Transportation
Yue Wang, Collin Wai Hung Wong, Tommy King-Yin Cheung, Edmund Yangming Wu
Summary: The aviation industry serves as a catalyst for the economic development of cities, with researchers using Bayesian network analysis to uncover the impact of different economic factors on aviation networks. This study provides insights for policy-makers to enhance global aviation network development.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2021)
Article
Engineering, Marine
He Li, Cheng-Geng Huang, C. Guedes Soares
Summary: This paper proposes an FMEA-BN model for determining the inspection and opportunistic maintenance strategies of floating offshore wind turbines. The model utilizes a mapping algorithm to establish a mirrored Bayesian Network (BN) model based on failure mode and effect analysis (FMEA) structure, allowing for efficient consideration of common cause failures. By updating the failure probabilities of components using the BN sub-model, and utilizing the FMEA sub-model, this model suggests inspection and maintenance strategies for floating offshore wind turbines under various operation scenarios. The validation of the results demonstrates the effectiveness of the model in supporting real-time inspection and maintenance strategies determination for complex systems like floating offshore wind turbines.
Article
Engineering, Industrial
Danilo T. M. P. Abreu, Marcos C. Maturana, Enrique Lopez Droguett, Marcelo R. Martins
Summary: This paper proposes a methodology for human reliability analysis in maritime pilotage operations. The results suggest that the presence or absence of a pilot significantly affects accident probabilities, and identifies key performance shaping factors.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Elizabeth Bismut, Daniel Straub
Summary: This paper presents a heuristic-based approach using simple decision rules to optimize inspection and maintenance plans for large structures. The method involves adaptive planning to continuously adjust the initial I&M plan throughout the service life based on past inspection and monitoring results.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Hongyan Dui, Shuanshuan Chen, Jia Wang
Summary: This study presents a failure recovery process for network systems based on the intrinsic associations between nodes and edges. The collaborative approach to node and edge maintenance in networks is also analyzed. Results indicate that node maintenance has a greater impact on network stability than edge maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Zhenggeng Ye, Zhiqiang Cai, Hui Yang, Shubin Si, Fuli Zhou
Summary: This study proposes a reinforcement learning-based method to solve the joint optimization problem of preventive maintenance and work-in-process quality inspection in manufacturing networks. By introducing dynamic reliability and quality models, and employing the Deep Deterministic Policy Gradient algorithm, the optimal joint control of reliability and quality in manufacturing networks is achieved.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Automation & Control Systems
Shufei Li, Pai Zheng, Lianyu Zheng
Summary: This article proposes an augmented reality (AR)-assisted deep learning-based approach to address three major challenges in aviation connector inspection, including small pins detection, multipins sequencing, and mismatched pins visualization. The experimental results demonstrate that this approach outperforms existing methodologies in terms of performance accuracy and operational efficiency.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Industrial
Xing Pan, Dujun Zuo, Wenjin Zhang, Lunhu Hu, Huixiong Wang, Jing Jiang
Summary: Bayesian networks are essential in uncertainty analysis for establishing causality and clarifying complex relationships. The concept of Extended BNs addresses hybrid data problem and allows integration of different data types in HRA. The case study demonstrates the effectiveness of Extended BNs in risk prediction and avoidance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Environmental
Yunfei Huang, Guojin Qin, Ming Yang
Summary: This study proposes a risk-based inspection planning framework for pipelines considering external corrosion and dents. The Time-dependent pipeline deterioration by dents and corrosion is modeled probabilistically. An optimization model and cost-benefit analysis are introduced to determine the optimum inspection period and risk reduction measures. The proposed framework is well-validated by a case study on an in-service pipeline.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Aerospace
Chenyang Zhang, Chenglin Liu, Haiyue Liu, Chaozhe Jiang, Liping Fu, Chao Wen, Weiwei Cao
Summary: This study introduces a data-driven Bayesian network (BN) approach to analyze the causal effects of pilot and other factors on civil aviation safety. By analyzing 163 individual pilot-related accidents in the NTSB aviation accident database, the study focuses on eliciting the causal effects of various potential risk factors, including pilot factors, on civil aviation accidents. The results indicate that weather conditions and flight phases are more correlated with casualty types of civil aviation accidents than pilot action and decision, and three other pilot factors only contribute to fatal injury in civil aviation accidents.
Article
Physics, Multidisciplinary
Zhaodong Huang, Steven Chien, Wei Zhu, Pengjun Zheng
Summary: A Bayesian model was developed to schedule wheel inspections for sustainable train operation, showing a significant reduction in inspection frequency while maintaining wheel reliability. The study highlights the importance of proper scheduling for wheel inspections in urban rail transit.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Industrial
Jintao Xu, Maolei Gui, Rui Ding, Tao Dai, Mengyan Zheng, Xinhong Men, Fanpeng Meng, Tao Yu, Yang Sui
Summary: Traditional static methods are not sufficient to analyze the dynamic interaction, time correlation, and uncertainty of reactor protection system (RPS) for nuclear power plant (NPP). This paper proposes a new approach using dynamic fault tree (DFT), dynamic Bayesian network (DBN), and Latin hypercube sampling (LHS) to analyze the dynamic reliability of RPS. The proposed approach is applied to Hualong-1 (HPR1000) RPS for dynamic prediction and sensitivity analyses, suggesting its effectiveness for dynamic reliability analysis of RPS.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Marine
Abdullahi Abdulkarim Daya, Iraklis Lazakis
Summary: The reliability of the power generation system is crucial for ship operators in ensuring the safety of operators, passengers, equipment, and cargo. This study conducted a novel analysis of system reliability using DFTA, FMECA, and BBN for 4 DGs, providing insights on faults and component criticality for vessel maintenance and availability. The research also addressed the unique challenges faced by operators in terms of environment, operational demands, and technology, which affect maintenance and system reliability. Based on the outputs of DFTA minimal cut set and RPN from FMECA, a BBN influence diagram was used to establish a maintenance strategy decision support system (DSS). The overall outcome of the DSS indicates relatively high unavailability, suggesting corrective actions and continuous monitoring for DGs with low availability, and a preventive maintenance strategy for DGs with good availability.
