相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Engineering, Environmental
Raphael Santana Almeida et al.
Summary: This paper proposes a combination of Bowtie and fuzzy logic to address the uncertainties in the analysis. Through a case study and testing of various events, it is found that the use of fuzzy logic can effectively evaluate the importance of these events.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Environmental
Jiang Chenyu et al.
Summary: Early detection and control of risks are crucial in ensuring safety in digitalized industries. This paper proposes a predictive analytics method called adjoint-based Markov/Cell-to-Cell Mapping Technique (Markov/CCMT) with data assimilation using the sequential Monte Carlo particle filter method. The method allows for dynamic risk and reliability scenario modeling of industrial digital process control systems. The demonstrated results show that the proposed Markov/CCMT predictive analytics framework can provide real-time and accurate predictions for proactive insights in the operation and maintenance of safety-critical engineering systems.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Environmental
Mohammad Ali Hatefi et al.
Summary: The failures in drilling operations can result in significant economic losses due to safety incidents, machinery damages, and environmental impacts. To prevent such events, it is crucial to assess and mitigate the related risk factors. This paper presents a framework for diagnosing and analyzing drilling operation risk factors in an Iranian gas field. The proposed methodology includes knowledge sources, risk identification, general risk analysis, and estimation of overall wellbore risks. The combination of modified FMEA, GROC, and VIMUN methods is used to evaluate the risk factors and determine the risk levels of each wellbore. The results highlight the importance of addressing drilling fluid loss and lack of advanced technology in the field.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Review
Engineering, Industrial
Renan G. Maidana et al.
Summary: This paper reviews the methods for dynamic probabilistic risk assessment (DPRA) and focuses on the existing solutions for the state explosion problem. The solutions are analyzed and compared in terms of computational time complexity, traceability, and state-space coverage. Potential paths to improved solutions for the state explosion problem are proposed based on the knowledge gained from the study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Computer Science, Interdisciplinary Applications
Hongyan Dui et al.
Summary: The COVID-19 outbreak has challenged the resilience of a country's healthcare infrastructure. This study focuses on optimizing the supply of medical resources and meeting medical needs during public health emergencies. It analyzes the cascading failures and resilience of the hospital infrastructure system with the presence of COVID-19, proposes models and methods for analyzing failure mechanisms and optimizing resilience, and examines the supplies and demands for maintaining the operations of the system. Simulation analysis is conducted to demonstrate the applicability of the proposed method.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Mechanical
Guangze Pan et al.
Summary: This paper proposes a general reliability analysis method that considers complex mixed correlated competition, which includes competing multi-performance degradation and sudden failure modes. Nonlinear Wiener process and Copula function are used to model performance degradation failures and their correlated competition, while a three-parameter Weibull distribution is used for modeling sudden failures. The proposed method achieves higher evaluation accuracy and wider applicability than existing methods that ignore mixed correlated competition.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Computer Science, Artificial Intelligence
Mingjing Xu et al.
Summary: A two-stage method is developed for estimating the equipment degradation level by representing similar degradation patterns using Conceptors clustering and training a convolutional neural network classifier. The proposed method achieves more accurate estimation compared to other state-of-the-art methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Industrial
Hongyan Dui et al.
Summary: This paper investigates the preventive maintenance of multi-state machines in a manufacturing system, proposes a cost-based prioritization method, discusses different maintenance policies and priorities based on machine failures. Real-time buffer capacity plays a crucial role in selecting machines for preventive maintenance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Chemical
Qingqing Xu et al.
Summary: This paper focuses on the dynamic risk assessment method for the underground gas storage process, which combines fault tree and Bayesian network to identify risk factors and introduces fuzzy numbers to determine the prior probability. Causal and diagnostic reasoning is performed to determine the failure level of the underground gas storage facilities, and sensitivity and impact analysis are used to identify significant risk factors and possible failure paths. The time factor is also considered in the dynamic assessment and analysis of underground gas storage facilities using a dynamic Bayesian network.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Article
Engineering, Industrial
Fujio Kaneko et al.
Summary: In this study, a new risk analysis method is proposed to estimate the risk of a target system by using a relatively small event tree, considering the time changes in the system state. The method utilizes probability distribution functions to estimate the maximum and minimum risk values of each event sequence. This approach greatly reduces the time required for risk analysis and is equivalent to using a dynamic event tree in principle.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Jie Ma et al.
Summary: In this paper, a multi-phase Wiener process-based degradation model is constructed to characterize the degradation process subjected to imperfect maintenance activities. The beta distribution is introduced to describe the residual degradation coefficient caused by the imperfect maintenance activity. The analytical forms of remaining useful life are obtained and the effectiveness of the proposed method is demonstrated through numerical and practical studies of gyroscopes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Weikai Wang et al.
Summary: In this paper, a condition-based imperfect maintenance model based on piecewise deterministic Markov process (PDMP) is constructed. The degradation of the system includes two types: natural degradation and random shocks. The impulse optimal control theory of PDMP is used to determine the optimal maintenance strategy. A numerical study dealing with component coating maintenance problem is presented, along with sensitivity analyses on the influences of discount factor, observation interval and maintenance cost.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Review
Engineering, Industrial
Hongyan Dui et al.
Summary: In recent years, the study of resilience management has been accelerated by frequent natural or man-made disturbances. Maintenance activities, as an important source of system resilience, need effective management. Reliability importance measures have become an effective tool in maintenance management. However, there are still challenges in the studies of importance measure-based maintenance management. A comprehensive review and discussion can provide valuable insights for future research.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Guofa Li et al.
Summary: This study focuses on the prediction of Remaining Useful Life (RUL) in rolling bearing prognostics and health management. It proposes an improved Kalman filtering method that uses variational Bayesian technique to adaptively describe noise information and considers linear and nonlinear factors of multi-channel signals to recognize the degradation stage transition point of bearing as Time to Start Prediction (TSP). The proposed method is validated on XJTU-SY and IMS-Rexnord bearing data, showing accurate recognition of TSP and improved long-term prediction accuracy.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Yushan Liu et al.
Summary: This paper proposes a novel Bayesian updating framework based on principal component analysis (PCA) to solve the challenging problem of updating dynamic systems with high-dimensional output. The framework constructs a new likelihood function based on low-dimensional output principal components (PCs), which has been analytically proven to provide equivalent likelihood measures to the original one. An efficient Bayesian updating algorithm is also proposed in the PCA-based framework, which incorporates adaptive Bayesian updating with structural reliability methods (aBUS) and the Kriging model. Four examples are conducted to validate the proposed method.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
Zengkai Liu et al.
Summary: This paper proposes a novel method to quantify risk coupling of subsea blowout accidents based on DBN and NK model. By classifying and analyzing risk factors, a developed DBN model can describe the dynamic characteristics of risk evolution and risk coupling of the accidents. Sensitive analysis and quantification of risk factors' influences can be performed with this model.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Yunwei Hu et al.
Summary: Probabilistic risk assessment is a systematic process used to ensure safety in engineered systems. The complexity of interactions between hardware, software, and humans has made it difficult to enumerate risky scenarios using traditional methods. A new dynamic probabilistic risk assessment methodology is proposed in this study, employing simulation, planner, and scheduler modules to guide risk assessment with engineering knowledge. The effectiveness of the platform is demonstrated through risk assessment of a Space Shuttle ascent phase.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Review
Engineering, Chemical
Anagha Raveendran et al.
Summary: There have been significant advancements in hazard and risk analysis techniques in recent decades. Dynamic Risk Analysis is an advanced approach that deals with rapidly changing environments and integrates changing risk levels into overall risk profile. Despite challenges, dynamic approaches offer numerous advantages for real-time risk management.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2022)
Article
Engineering, Environmental
Miao He et al.
Summary: Considering the influence of complicated geological conditions on deep wells' safety, this study uses real-time measurements to identify downhole parameters and improve the accuracy of model predictions. By using the unscented-Kalman-filter algorithm and a new multi-phase flow inversion model, accurate quantitative interpretation and analysis of downhole gas kick conditions are achieved, which has important implications for safe and efficient drilling.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Environmental
Yingying Wang et al.
Summary: This paper presents a methodology integrating FEA and DBN for fault diagnosis of fatigue cracks of subsea wellhead connectors with material aging. The study concludes that the structural failure probability of the subsea wellhead connector increases after 30 years of service.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Industrial
Gregory Levitin et al.
Summary: This paper co-models mission failure-triggered rescue procedures and system state-triggered rescue procedures for reliability analysis of multi-state systems. A probabilistic modeling method is proposed, and different mission abort rules are investigated and compared.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Environmental
Kulbir Singh et al.
Summary: This research proposes a novel methodology that combines fuzzy fault tree analysis and Bayesian networks to improve the accuracy and effectiveness of risk analysis for submarine pipeline leakage accidents.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Multidisciplinary
Indranil Hazra et al.
Summary: The gamma process is a popular model for characterizing temporal uncertainty in degradation processes, while the mixed gamma degradation process is suitable for capturing differences in degradation rates. Approximate Bayesian computation (ABC) methods are useful for generating samples from a target posterior distribution under limited and noisy measurement conditions.
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
(2022)
Article
Engineering, Environmental
Xinhong Li et al.
Summary: This paper presents a Copula-Bayesian approach for risk assessment of decommissioning operation of subsea pipelines, which captures the complicated interactions among risk factors. The critical risk factors in decommissioning operation are found through correlation analysis, and the failure probabilities are estimated. It is an important tool for risk-informed decision-making in subsea pipeline decommissioning operation.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Mechanical
Fangli Lou et al.
Summary: Based on bidirectional wear experiments, a bidirectional wear model based on Inverse Gaussian process was proposed in this study. The analysis of experimental results revealed that impact wear accelerated the formation and distribution of transfer film, and increasing the reversal frequency improved the tribological characteristics.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Engineering, Industrial
Guanghan Bai et al.
Summary: A new research direction has emerged to quickly recover power grids after disasters due to the complexity of power grids and the potential for large-scale economic losses from component failures. This study proposes an improved measure of power grid resilience and the corresponding importance measures for prioritizing the recovery of failed components post-disaster. Analyzing data from the 2019 Power Yearbook of cities in Shandong Province, China, the study demonstrates varying recovery priorities for components with different importance measures, thus proving the feasibility of the proposed method to evaluate power grid resilience under different repair conditions.
FRONTIERS OF ENGINEERING MANAGEMENT
(2021)
Review
Engineering, Industrial
Zili Wang
Summary: This study provides a systematic overview of the evolution of reliability systems engineering (RSE) in China, focusing on the latest development of model-based RSE (MBRSE). The establishment of system architecture, conceptual models, fundamental theory, methodology, and various MBRSE platforms are elaborated. The prospective trends in the future development of RSE in China are also outlined.
FRONTIERS OF ENGINEERING MANAGEMENT
(2021)
Article
Engineering, Environmental
Yue Han et al.
Summary: A new hybrid dynamic risk modelling methodology for safety-critical equipment (SCE) on offshore installations is proposed in this study to capture causality and dynamic dependencies precisely. The effectiveness of the hybrid SVR-DBN methodology is verified through a case study, overcoming the limitations of traditional DBN. The methodology is a systematic tool for dynamic risk assessment of SCE considering the dynamic characteristics of degradation and the influence of human error.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Engineering, Environmental
Jing Zhou et al.
Summary: This study proposed fault diagnosis models for the SBR process based on different scenarios, successfully applied them in a paper mill, providing a new approach for fault detection in wastewater treatment processes.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Engineering, Environmental
Zengkai Liu et al.
Summary: This paper introduces a dynamic risk assessment model for evaluating the safety of deepwater drilling operations, which can comprehensively analyze the risk factors and clarify the impact of blowouts. By analyzing risk factors, developing dynamic Bayesian network model, and conducting risk analysis, the model provides insights into the risks associated with blowouts.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Engineering, Environmental
Priscilla Grace George et al.
Summary: With the evolution of safety risk assessment methodologies, the emergence of Bayesian Networks has provided a dynamic tool for handling safety and security risk assessments in process industries. Traditional quantitative risk assessment techniques are limited in dynamic environments, whereas Bayesian Networks have the advantage of handling multi-state variables and representing conditional dependence between events.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Engineering, Environmental
Yanfu Wang et al.
Summary: Offshore platforms are susceptible to accidents, making emergency evacuation plans crucial. This research conducted a reliability analysis of evacuation strategies using Bayesian networks and Markov methods to identify key factors leading to evacuation failure.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Automation & Control Systems
Baoping Cai et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2020)
Article
Engineering, Environmental
Mohammad Zaid Kamil et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2019)
Article
Engineering, Environmental
Ping Yu et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2019)
Article
Engineering, Environmental
Xinhong Li et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2016)
Article
Automation & Control Systems
Baoping Cai et al.
Article
Engineering, Chemical
R. Roberts et al.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2015)
Article
Multidisciplinary Sciences
John P. Incardona et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2014)
Article
Automation & Control Systems
Baoping Cai et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2013)
Article
Engineering, Environmental
Ming Yang et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2013)
Article
Engineering, Electrical & Electronic
Baoping Cai et al.
IEEE TRANSACTIONS ON MAGNETICS
(2011)
