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system reliability Analysis Method Based on T-S FTA and HE-BN

Computer Modeling in Engineering & Sciences 2024年第2期138卷 1769-1794页

作者： Qing Xia Yonghua Li Dongxu Zhang YufengWang School of Mechanical Engineering Dalian Jiaotong UniversityDalian116028China School of Locomotive and Rolling Stock Engineering Dalian Jiaotong UniversityDalian116028China

For high-reliability systems in military,aerospace,and railway fields,the challenges of reliability analysis lie in dealing with unclear failure mechanisms,complex fault relationships,lack of fault data,and uncertainty of fault *** overcome these problems,this paper proposes a reliability analysismethod based on T-S fault tree analysis(T-S FTA)and Hyper-ellipsoidal Bayesian network(HE-BN).The method describes the connection between the various systemfault events by T-S fuzzy gates and translates them into a Bayesian network(BN)*** the advantages of T-S fault tree modeling with the advantages of Bayesian network computation,a reliability modeling method is proposed that can fully reflect the fault characteristics of complex *** describe the degree of failure of the event in the form of interval *** knowledge and experience of experts are fused with the D-S evidence theory to obtain the initial failure probability interval of the BN root ***,the Hyper-ellipsoidal model(HM)constrains the initial failure probability interval and constructs a HE-BN for the system.A reliability analysismethod is proposed to solve the problem of insufficient failure data and uncertainty in the degree of *** failure probability of the system is further calculated and the key components that affect the system’s reliability are *** proposedmethod accounts for the uncertainty and incompleteness of the failure data in complex multi-state systems and establishes an easily computable reliability model that fully reflects the characteristics of complex faults and accurately identifies system *** feasibility and accuracy of the method are further verified by conducting case studies.

关键词： system reliability D-S evidence theory hyper-ellipsoidal bayesian network T-S fault tree

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Fuzzy and IRLNC-based routing approach to improve data storage and system reliability in IoT

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Intelligent and Converged Networks 2024年第1期5卷 68-80页

作者： U.Indumathi A.R.Arunachalam the Department of Computer Science and Engineering Dr.M.G.R.Educational and Research InstituteChennai 600095India

Internet of Things(IoT)based sensor network is largely utilized in various field for transmitting huge amount of data due to their ease and cheaper *** performing this entire process,there is a high possibility for data corruption in the mid of *** the other hand,the network performance is also affected due to various *** address these issues,an efficient algorithm that jointly offers improved data storage and reliable routing is ***,after the deployment of sensor nodes,the election of the storage node is achieved based on a fuzzy expert *** Random Linear Network Coding(IRLNC)is used to create an encoded *** encoded packet from the source and neighboring nodes is transmitted to the storage ***,to transmit the encoded packet from the storage node to the destination shortest path is found using the Destination Sequenced Distance Vector(DSDV)*** analysis of the proposed work is carried out by evaluating some of the statistical *** residual energy,packet delivery ratio,compression ratio and storage time achieved for the proposed work are 8.8%,0.92%,0.82%,and 69 *** on this analysis,it is revealed that better data storage system and system reliability is attained using this proposed work.

关键词： Internet of Things(IoT) data storage management fuzzy system improved random linear network coding energy utilization system reliability

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system reliability-based robust design of deep foundation pit considering multiple failure modes

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Geoscience Frontiers 2024年第2期15卷 169-182页

作者： Li Hong Xiangyu Wang Wengang Zhang Yongqin Li Runhong Zhang Chunxia Chen School of Civil Engineering Chongqing UniversityChongqing 400045China School of Design and the Built Environment Curtin UniversityBentley 6102Western AustraliaAustralia Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChongqing 400045China Institute of Smart City and Intelligent Transportation Southwest Jiaotong UniversityChengdu 610097China China Southwest Geotechnical Investigation&Design Institute Co. LtdChengdu 610052SichuanChina

Recently,reliability-based design is a universal method to quantify negative influence of uncertainty in geotechnical ***,for deep foundation pit,evaluating the system safety of retaining structures and finding cost-effective design points are main *** address this,this study proposes a novel system reliability-based robust design method for retaining system of deep foundation pit and illustrated this method via a simplified case history in Suzhou,*** proposed method included two parts:system reliability model and robust design *** Propagation Neural Network(BPNN)is used to fit limit state functions and conduct efficient reliability *** common source random variable(CSRV)model are used to evaluate correlation between failure modes and determine the system ***,based on the system reliability model,a robust design method is *** method aims to find cost-effective design *** solve this problem,the third generation non-dominated genetic algorithm(NSGA-III)is *** efficiency and accuracy of whole computations are improved by involving BPNN models and NSGA-III *** proposed method has a good performance in locating the balanced design point between safety and construction ***,the proposed method can provide design points with reasonable stiffness distribution.

关键词： system reliability Machine learning method Non-dominated sorting genetic algorithm Robust design Multiple objective optimization models

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system reliability evaluation of long railway subgrade slopes considering discrete instability

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Railway Engineering Science 2022年第4期30卷 482-493页

作者： Wensheng Zhang Qiang Luo Tengfei Wang Qi Wang Liangwei Jiang Dehui Kong School of Civil Engineering Southwest Jiaotong UniversityChengdu 610031China Department of Civil and Environmental Engineering Harbin Institute of TechnologyShenzhen 518055China MOE Key Laboratory of High-Speed Railway Engineering Southwest Jiaotong UniversityChengdu 610031China

This paper develops a dual-indicator discrete method(DDM)for evaluating the system reliability performance of long soil subgrade ***,they are segmented into many slope sections using the random finite element method,to ensure each section statistically contains one potential local ***,the k-out-of-n system model is used to describe the relationship between the total number of sections n,the acceptable number of failure sections m,the reliability of sections R_(sec),and the system reliability R_(sys).Finally,m and R_(sys)are jointly used to assess the system reliability *** cases lacking spatial data of soil properties,a simplified DDM is provided in which long subgrade slopes are segmented by the empirical value of section length and R_(sec)is substituted by that of crosssections taken from *** results show that(1)DDM can provide the probability that the actual number of local instabilities does not exceed a desired threshold.(2)R_(sys)decreases with increasing n or decreasing R_(sec);that is,it is likely to encounter more local instabilities for longer or weaker subgrade slopes.n is negatively related to the horizontal scale of fluctuation of soil properties and positively related to the total length of subgrade slopes L.(3)When L is sufficiently large,there is a considerable opportunity to meet local instabilities even if R_(sec)is large enough.

关键词： Subgrade slope Local instability Segmentation k-out-of-n system system reliability Railway engineering

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Efficient adaptive Kriging for system reliability analysis with multiple failure modes under random and interval hybrid uncertainty

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Chinese Journal of Aeronautics 2022年第5期35卷 333-346页

作者： Bofan DONG Zhenzhou LU School of Aeronautics Northwestern Polytechnical UniversityXi’an 710072China

In the field of the system reliability analysis with multiple failure modes,the advances mainly involve only random *** upper bound of the system failure probability with multiple failure modes is usually employed to quantify the safety level under Random and Interval Hybrid Uncertainty(RI-HU).At present,there is a lack of an efficient and accurate method for estimating the upper bound of the system failure *** paper proposed an efficient Kriging model based on numerical simulation algorithm to solve the system reliability analysis under *** method proposes a system learning function to train the system Kriging models of the system limit state *** convergent Kriging models are used to replace the limit state functions of the system multi-mode for identifying the state of the random *** proposed system learning function can adaptively select the failure mode contributing most to the system failure probability from the system and update its Kriging ***,the efficiency of the Kriging training process can be improved by avoiding updating the Kriging models contributing less to estimating the system failure *** presented examples illustrate the superiority of the proposed method.

关键词： Failure probability Kriging model Random and interval hybrid uncertainty system learning function system reliability

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system reliability OF ASSURED ACCURACY RATE FOR MULTI-STATE COMPUTER NETWORKS FROM SERVICE LEVEL AGREEMENTS VIEWPOINT

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Journal of systems Science and systems Engineering 2014年第2期23卷 196-211页

作者： Yi-Kuei Lin Cheng Fu Huang Department of Industrial Management National Taiwan University of Science & Technology

From the viewpoint of service level agreements, the transmission accuracy rate is one of critical performance indicators to assess internet quality for system managers and customers. Under the assumption that each arc＇s capacity is deterministic, the quickest path problem is to find a path sending a specific of data such that the transmission time is minimized. However, in many real-life networks such as computer networks, each arc has stochastic capacity, lead time and accuracy rate. Such a network is named a multi-state computer network. Under both assured accuracy rate and time constraints, we extend the quickest path problem to compute the probability that d units of data can be sent through multiple minimal paths simultaneously. Such a probability named system reliability is a performance indicator to provide to managers for understanding the ability of system and improvement. An efficient algorithm is proposed to evaluate the system reliability in terms of the approach of minimal paths.

关键词： Assured accuracy rate service level agreement (SLA) transmission time multi-state computer network (MSCN) system reliability

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system reliability Analysis of an Offshore Jacket Platform

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Journal of Ocean University of China 2020年第1期19卷 47-59页

作者： ZHAO Yuliang DONG Sheng JIANG Fengyuan GUEDES SOARES Carlos College of Engineering Ocean University of ChinaQingdao 266100China Centre for Marine Technology and Ocean Engineering(CENTEC Instituto Superior TécnicoLisboa 1049-001Portugal

This study investigates strategies for solving the system reliability of large three-dimensional jacket *** structural systems normally fail as a result of a series of different components *** failure characteristics are investigated under various environmental conditions and direction ***β-unzipping technique is adopted to determine critical failure components,and the entire system is simplified as a series-parallel system to approximately evaluate the structural system ***,this approach needs excessive computational effort for searching failure components and failure *** on a trained artificial neural network(ANN),which can be used to approximate the implicit limit-state function of a complicated structure,a new alternative procedure is proposed to improve the efficiency of the system reliability analysis *** failure probability is calculated through Monte Carlo simulation(MCS)with Latin hypercube sampling(LHS).The features and applicability of the above procedure are discussed and compared using an example jacket platform located in Chengdao Oilfield,Bohai Sea,*** study provides a reference for the evaluation of the system reliability of jacket structures.

关键词： system reliability jacket platform β-unzipping technique artificial neural network latin hypercube sampling response surface

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A Bayesian approach for integrating multilevel priors and data for aerospace system reliability assessment

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Chinese Journal of Aeronautics 2018年第1期31卷 41-53页

作者： Jian GUO Zhaojun LI Thomas KEYSER Department of Industrial Engineering and Engineering Management Western New England University

This paper investigates Bayesian methods for aerospace system reliability analysis using various sources of test data and expert knowledge at both subsystem and system levels. Four sce- narios based on available information for the priors and test data of a system and/or subsystems are studied using specific Bayesian inference techniques. This paper proposes the Bayesian melding method for integrating subsystem-level priors with system-level priors for both system- and subsystem-level reliability analysis. system and subsystem reliability outcomes are compared under different scenarios. Computational challenges for posterior inferences using the sophisticated Bayesian melding method are addressed using Markov Chain Monte Carlo （MCMC） and adaptive Sam- piing Importance Re-sampling （SIR） methods. A case study with simulation results illustrates the applications of the proposed methods and provides insights for aerospace system reliability analysis using available multilevel information.

关键词： Bayesian inference Bayesian melding Multilevel information Markov Chain Monte Carlo (MCMC) Sampling Importance Resampling (SIR) system reliability

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Importance measure of system reliability upgrade for multi-state consecutive k-out-of-n systems

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Journal of systems Engineering and Electronics 2012年第6期23卷 936-942页

作者： HonQvan Dui Shubin si Zhiqiang Cai Shudong Sun Yingfeng Zhang School of Mechatronics Northwestern Polytechnical University Xi'an 710072 P. R. China

Importance measures in reliability systems are used to identify weak components in contributing to a proper function of the system. Traditional importance measures mainly concerned the changing value of the system reliability caused by the change of the reliability of the component, and seldom considered the joint effect of the probability distribution, improvement rate of the object component. This paper studies the rate of the system reliability upgrading with an improvement of the component reliability for the multi-state consecutive k-out-of-n system. To verify the multi-state consecutive k-out-of-n system reliability upgrading by improving one component based on its improvement rate, an increasing potential importance （IPI） and its physical meaning are described at first. Secondly, the relationship between the IPI and Birnbaum importance measures are discussed. And the IPI for some different improvement actions of the component is further discussed. Thirdly, the characteristics of the IPI are analyzed. Finally, an application to an oil pipeline system is given.

关键词： system reliability multi-state consecutive k-out-of-nsystem improvement Birnbaum importance.

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A Method for Analyzing system reliability of Existing Jacket Platforms

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China Ocean Engineering 2008年第3期22卷 385-397页

作者：何勇龚顺风金伟良 Institute of Structural Engineering Zhejiang University

Owing to the ageing of the existing structures worldwide and the lack of codes for the continued safely management of structures during their lifetime, it is very necessary to develop a tool to evaluate their system reliability over a time interval. In this paper, a method is proposed to analyze system reliability of existing jacket platforms. The influences of dint, crack and corrosion are considered. The mechanics characteristics of the existing jacket platforms to extreme loads are analyzed by use of the nonlinear mechanical analysis. The nonlinear interaction of pile-soil-structure is taken into consideration in the analysis. By use of FEM method and Monte Carlo simulation, the system reliability of the existing jacket platforul can be obtained. The method has been illustrated through application to BZ28-1 three jacket platforms which have operated for sixteen years. Advantages of the proposed method for analyzing the system reliability of the existing jacket platform is also highlighted.

关键词： existing jacket platforms i nonliwar analysis system reliability

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