Reliability Modeling and Evaluation of Complex Multi-State System Based on Bayesian Networks Considering Fuzzy Dynamic of Faults

Zuo, Fangjun; Jia, Meiwei; Wen, Guilin; Zhang, Huijie; Li, Pingping

doi:10.32604/cmes.2021.016870

Cited by 8 publications

(5 citation statements)

References 34 publications

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“…Most studies about common cause failure mainly focus on power and mechanical systems. Zuo et al [41] applied the CCF theory to the hydraulic system balance circuit and studied the effect of CCF events on hydraulic systems in a Bayesian network. Little attention has been paid to the effects of CCF or CCF basic events on the systemic risk of a water project.…”

Section: Discussionmentioning

confidence: 99%

Systemic Risk Analysis of Safety, Progress, and Investment in the Construction of a Water Transfer Project and the Importance of Common Cause Failure

He,

Wang,

Zhang

et al. 2024

Water

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Safety, progress, and investment risks are correlated during the construction period of large-scale water transfer projects. However, previous studies have only considered individual risk factors, overlooking the potential systemic risk posed to safety, progress, and investment, as well as any underlying common cause failures. Since traditional risk analysis methods are ill-suited to addressing common cause failure, this paper’s objective was to establish a comprehensive evaluation index framework and to identify the basic events of common cause failure. To do that, we developed a risk analysis method that models common cause failure based on a Bayesian network for assessing that systemic risk. The Henan Section of the Yangtze-to-Huaihe River Water Diversion Project in China was then used as a case study. The results show that a variety of common cause failure events, such as epidemic disease, design alteration, lagged approval process, heavy rain in the flood season, renewal material and failing equipment, construction accidents, and external interference, can significantly impact the safety, progress, and investment systemic risk. Design alteration poses the greatest risk, with renewal material and failing equipment exerting the strongest influence among all common cause failure events. It is also possible to elucidate the predominant causal chains; specifically, the contributing influence of each basic failure event to the systemic risk can be clarified by adjusting their respective initial state. The failure of renewal material and failing equipment was found to significantly increase the safety risk. This study effectively simulated the complex causal relationships and uncertainties of pertinent risk factors, thereby enhancing our understanding of the systemic risk associated with safety, progress, and investment in large-scale water transfer projects.

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Section: Discussionmentioning

confidence: 99%

Systemic Risk Analysis of Safety, Progress, and Investment in the Construction of a Water Transfer Project and the Importance of Common Cause Failure

He,

Wang,

Zhang

et al. 2024

Water

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“…Combine all nodes' recombination status schemes into one individual M j (t). The detection behavior produces a new individual process, as shown in Equation (18).…”

Section: Detection Behaviormentioning

confidence: 99%

“…It analyzes the dynamic fuzzy reliability of the balance circuit of the hydraulic system of CNC machine tools and verifies the application of this method in system reliability assessment, providing a basis for CNC machine tool hydraulic system balance circuits. It provides support for fault diagnosis of machine tools [18]. The machined surface quality detection system was developed using CNN architecture and Bayesian optimization, achieving low cost and reliability [19].…”

Section: Introductionmentioning

confidence: 99%

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An Algorithm for Optimizing the Process Parameters of the Spindle Process of Universal CNC Machine Tools Based on the Most Probable Explanation of Bayesian Networks

Zhang,

Liu,

Wang

et al. 2023

Processes

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As an essential component of a universal CNC machine tool, the spindle plays a critical role in determining the accuracy of machining parts. The three cutting process parameters (cutting speed, feed speed, and cutting depth) are the most important optimization input parameters for studying process optimization. Better processing quality is often achieved through their optimization. Therefore, it is necessary to study the three cutting process parameters of the CNC machine tool spindle. In this paper, we proposed an improved algorithm incorporated with the beetle antennae search algorithm for the most probable explanation in Bayesian networks to achieve optimization calculation of process parameters. This work focuses on building adaptive dynamic step parameters to improve detection behavior. The chaotic strategy is discretized and used to establish the dominant initial population during the population initialization. This article uses four standard network data sets to compare the time and fitness values based on the improved algorithm. The experimental results show that the proposed algorithm is superior in time and accuracy compared to similar algorithms. At the same time, an optimization example for the actual machining of a universal CNC machine tool spindle was provided. Through the optimization of this algorithm, the true machining quality was improved.

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“…In open hydraulic balancing systems, variable hydraulic pumps, stroke CAM patterns and adjustable relief valve combinations are widely used. The difference between the two is the volume size of the accumulator and whether the hydraulic station runs regularly [4]. The balance structure of the hydraulic ISSN 2616-5767 Vol.6, Issue 6: 39-44, DOI: 10.25236/AJETS.2023.060606…”

Section: Hydraulic Compensation Balancing Devicementioning

confidence: 99%

Analysis of CNC machine tool self-circulating hydraulic balance system

2023

AJETS

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In the field of industrial manufacturing, as an essential unit in CNC machining, balance of hydraulic system plays an influential role in precision machining. In order to reduce the pressing deformation of the workpiece and additionally improve the machining accuracy, this paper improves the self-circulation hydraulic balance system, and integrates the fluctuation rate and additional variables into the system parameter system, considers the variable relationship in the numerical control machine tool as a whole, and obtains the parameter calculation relationship. The simulation analysis proves that this model has a certain practical effect. It provides theoretical support for the further development of CNC machine tools.

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Reliability Modeling and Evaluation of Complex Multi-State System Based on Bayesian Networks Considering Fuzzy Dynamic of Faults

Cited by 8 publications

References 34 publications

Systemic Risk Analysis of Safety, Progress, and Investment in the Construction of a Water Transfer Project and the Importance of Common Cause Failure

Systemic Risk Analysis of Safety, Progress, and Investment in the Construction of a Water Transfer Project and the Importance of Common Cause Failure

An Algorithm for Optimizing the Process Parameters of the Spindle Process of Universal CNC Machine Tools Based on the Most Probable Explanation of Bayesian Networks

Analysis of CNC machine tool self-circulating hydraulic balance system

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