Reliability Engineering & System Safety最新文献_第2页

Joint optimization of imperfect preventive opportunistic maintenance and spare parts inventory for multi-unit systems considering spare parts reuse 考虑备件再利用的多单元系统不完全预防性机会维修与备件库存联合优化

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-20 DOI: 10.1016/j.ress.2025.111162

Xinlong Li , Shuai Jiang , Baojia Chen , Fafa Chen , Youjun An , Yan Ran , Genbao Zhang

{"title":"Joint optimization of imperfect preventive opportunistic maintenance and spare parts inventory for multi-unit systems considering spare parts reuse","authors":"Xinlong Li , Shuai Jiang , Baojia Chen , Fafa Chen , Youjun An , Yan Ran , Genbao Zhang","doi":"10.1016/j.ress.2025.111162","DOIUrl":"10.1016/j.ress.2025.111162","url":null,"abstract":"<div><div>Developing an appropriate maintenance and spare parts inventory strategy is an effective means to ensure the safe and reliable operation of the system. Currently, the joint optimization research of maintenance and spare parts inventory strategy for multi-unit systems neglects the reuse of the unit after maintenance, which wastes maintenance resources and increases maintenance costs. In addition, in order to facilitate modeling and calculation, time parameters related to preventive maintenance are ignored, and the differentiated effects of preventive maintenance on different types of unit failures are also not considered, so the strategy developed is not accurate. In this paper, considering the differential effects of preventive maintenance on different types of unit failures, maintenance strategies at unit-level are formulated first. Then, the costs involved are analyzed, the joint optimization model of imperfect opportunistic maintenance based on dynamic time window and spare parts inventory for multi-unit system is established, which takes into account the time parameters related to preventive maintenance and the reuse of the unit after maintenance. Furthermore, the solution algorithm of the model is designed. Finally, a numerical example is provided to demonstrate the effectiveness and superiority of the proposed method.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111162"},"PeriodicalIF":9.4,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flood disaster chain deduction based on cascading failures in urban critical infrastructure 基于城市关键基础设施级联故障的洪水灾害链推导

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-19 DOI: 10.1016/j.ress.2025.111160

Yongming Wang , Zhoujing Ye , Xinran Jia , Huifang Liu , Guoqing Zhou , Linbing Wang

{"title":"Flood disaster chain deduction based on cascading failures in urban critical infrastructure","authors":"Yongming Wang , Zhoujing Ye , Xinran Jia , Huifang Liu , Guoqing Zhou , Linbing Wang","doi":"10.1016/j.ress.2025.111160","DOIUrl":"10.1016/j.ress.2025.111160","url":null,"abstract":"<div><div>With the acceleration of global climate change and urbanization, cities are increasingly vulnerable to extreme rainfall and flooding disasters. Urban infrastructure, which is interconnected physically, geographically, and informationally, serves as a carrier for the propagation of disasters, amplifying their effects and exacerbating the overall system's vulnerability. This paper proposes a novel method for analyzing urban flood disaster chains, using cascading failures within critical urban infrastructure networks as a basis. The method first constructs extreme rainfall flood disaster scenarios for urban areas through numerical simulation, considering rainfall and hydrological conditions. Next, a network model is developed that encompasses key urban infrastructures, including electricity, transportation, and communication systems. The coupling mechanism of these three critical infrastructures is defined, considering their geographical and physical connections. By analyzing the failure modes and propagation pathways of these infrastructures under extreme rainfall scenarios, the method explains the nonlinear spatiotemporal evolution of flood disaster chains, from localized failures (\"points\") to broader network-wide disruptions (\"lines\"), and ultimately to extensive systemic failures (\"planes\"). Furthermore, the impact of protecting key nodes within the infrastructure on the spatiotemporal evolution of disaster chains is analyzed. This analysis demonstrates how safeguarding critical points can disrupt the disaster chain and mitigate the impacts of flooding, offering new perspectives and analytical tools for urban flood disaster management and emergency response strategies. The findings are significant for understanding the interdependencies within urban infrastructure and enhancing the disaster resilience of urban systems.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111160"},"PeriodicalIF":9.4,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint optimization of condition-based operation and maintenance strategy for load-sharing systems subject to hybrid continuous and discrete loads 连续与离散混合负荷下负荷共享系统状态运维策略联合优化

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-19 DOI: 10.1016/j.ress.2025.111166

Songhua Hao , Wei Chen , Jun Wang

{"title":"Joint optimization of condition-based operation and maintenance strategy for load-sharing systems subject to hybrid continuous and discrete loads","authors":"Songhua Hao , Wei Chen , Jun Wang","doi":"10.1016/j.ress.2025.111166","DOIUrl":"10.1016/j.ress.2025.111166","url":null,"abstract":"<div><div>Load-sharing mechanism is a worldwide redundancy designed to enhance system reliability by distributing the total system load among surviving units. Traditional load-sharing systems typically encounter continuous and constant loads that everlastingly influence the system degradation process. However, practical engineering systems, e.g., power supply systems, may simultaneously withstand both continuous loads and discrete loads, where the latter will also have a certain influence on system reliability. To fill the gap of this innovative load characteristic, this paper examines a novel load-sharing system subject to hybrid continuous and discrete loads. Unit basic degradation process is modelled by a nonlinear Wiener process with a continuous-load-related covariate, while discrete loads, arriving according to a homogeneous Poisson process, cause sudden degradation increments. Lifetime distribution of the presented load-sharing system is analytically derived, serving as the basis for downtime cost analysis related to further condition-based operation and maintenance strategy, which is newly proposed by the introduction of dynamic adjustment of unit loads based on their degradation inspections. The Markov decision process is modelled and formulated for joint optimization of inspection interval, condition-based maintenance and dynamic load reallocation. Compared with traditional condition-based maintenance with equal load allocation, numerical studies are conducted to investigate the effectiveness and robustness of dynamic load allocation.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"262 ","pages":"Article 111166"},"PeriodicalIF":9.4,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A dynamic inspection model for predictive maintenance considering different degrees of inspection quality 考虑不同检测质量程度的预测维修动态检测模型

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-19 DOI: 10.1016/j.ress.2025.111165

Duc-Hanh Dinh , Phuc Do , Minh-Hien Bui , Phuoc-Vinh Dang

{"title":"A dynamic inspection model for predictive maintenance considering different degrees of inspection quality","authors":"Duc-Hanh Dinh , Phuc Do , Minh-Hien Bui , Phuoc-Vinh Dang","doi":"10.1016/j.ress.2025.111165","DOIUrl":"10.1016/j.ress.2025.111165","url":null,"abstract":"<div><div>In predictive maintenance (PdM), inspection plays a key role since it provides information about system health to support maintenance decision-making. However, inspection may be costly, which is one of the bottlenecks of the PdM. To reduce the overall inspection cost, this paper proposes a dynamic inspection model that incorporates three levels of inspection quality: (1) Binary state inspection, which is the cheapest one, can only reveal the binary state of the system, whether functioning or not; (2) Imperfect degradation inspection, which incurs a higher cost, but can provide the system state and degradation level with uncertainty; and (3) Perfect degradation inspection, which is the most expensive one, can provide the true system’s degradation level. Accordingly, at each inspection epoch, the inspection level is selected based on the predictive reliability of the system. By dynamically selecting the inspection level at each inspection epoch, the overall inspection cost of the system can be reduced. In that way, a reliability prediction model considering three kinds of inspections is first proposed for inspection and maintenance decision-making. Then, a maintenance cost model is developed to find the optimal predictive inspection and maintenance policy. Finally, a case study on predictive maintenance of an injection molding machine is conducted to investigate the applicability and benefit of the proposed dynamic inspection model.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111165"},"PeriodicalIF":9.4,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A method for reliability analysis of railway signal equipment at the station level based on universal generating function 基于通用生成函数的车站级铁路信号设备可靠性分析方法

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-19 DOI: 10.1016/j.ress.2025.111168

Zhongji Su , Zexi Hua , Yongchuan Tang , Lei Wang , Qingyuan Zhu

{"title":"A method for reliability analysis of railway signal equipment at the station level based on universal generating function","authors":"Zhongji Su , Zexi Hua , Yongchuan Tang , Lei Wang , Qingyuan Zhu","doi":"10.1016/j.ress.2025.111168","DOIUrl":"10.1016/j.ress.2025.111168","url":null,"abstract":"<div><div>Reliability analysis of railway signal equipment is pivotal to ensuring railway transport safety; however, current research lacks a holistic grasp of the operation of station signal equipment. This paper addresses the comprehensive reliability of railway station signal outdoor systems and establishes a station-level reliability analysis method based on a multi-dimensional universal generating function. The proposed method converts the complex station signal topology into an end-to-end multi-layer topology structure, utilizing a universal generating function model to derive a reliability model for the complex station-level railway signal equipment system. Subsequently, the system reliability is used as the measurement function to calculate and analyze the Fussel-Vesely importance of each signal point device in the station. Finally, experiments at a railway station demonstrated that the method described in this paper could effectively characterize the overall reliability of railway station signal equipment and reveal the differences in the importance of each signal point equipment. Furthermore, the method provides a theoretical foundation for decision-making processes related to inspection activities by visually depicting the operational status of the station to on-site railway operation and maintenance personnel.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111168"},"PeriodicalIF":9.4,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Type-Ⅰ censored reliability qualification test design for weibull products based on expert judgments 基于专家判断的威布尔产品可靠性鉴定试验设计

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-18 DOI: 10.1016/j.ress.2025.111074

Yunlei Tan , Ping Jiang , Yunyan Xing , Jianjun Qi

{"title":"Type-Ⅰ censored reliability qualification test design for weibull products based on expert judgments","authors":"Yunlei Tan , Ping Jiang , Yunyan Xing , Jianjun Qi","doi":"10.1016/j.ress.2025.111074","DOIUrl":"10.1016/j.ress.2025.111074","url":null,"abstract":"<div><div>Reliability Qualification Testing (RQT) is crucial for confirming that a product complies with specified reliability standards. Traditionally, practitioners design a lifetime test plan by referring to the GJB899A-2009 \"Reliability Qualification and Acceptance Testing\", which provides test plans subjected to the test specifications and risks. However, these plans often demand lengthy testing periods and are not practical in many scenarios where conclusions need to be provided in a short term. In this paper, a framework of test plan design with a derivation method for risk calculation is proposed for Weibull-distributed products. In this framework, to estimate the probability density distribution of product lifetime <em>T</em> with multiple expert judgments, a nonlinear optimization problem is modeled, and imprecise prior information is converted to combinatorial constraints. To search for parameters' approximate optimal solution, PSO-MEM is constructed, which is a framework integrating the particle swarm optimization (PSO) with the maximum entropy principle (MEM). What's more, to cover a relatively comprehensive range of test specifications and types, equations are modified under three typical distributions and two kinds of lifetime test plans. Besides, the proposed method is compared with authoritative standards like GJB 899A-2009 under different test conditions. The results show that test plans searched in this paper yield lower risk value than standard plans, which highlights the effectiveness of the new framework in deriving RQT plans under multiple imprecise information and different test modes.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"262 ","pages":"Article 111074"},"PeriodicalIF":9.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UQ state-dependent framework for seismic fragility assessment of industrial components 工业构件地震易损性评估的UQ状态依赖框架

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-17 DOI: 10.1016/j.ress.2025.111067

Chiara Nardin , Stefano Marelli , Oreste S. Bursi , Bruno Sudret , Marco Broccardo

{"title":"UQ state-dependent framework for seismic fragility assessment of industrial components","authors":"Chiara Nardin , Stefano Marelli , Oreste S. Bursi , Bruno Sudret , Marco Broccardo","doi":"10.1016/j.ress.2025.111067","DOIUrl":"10.1016/j.ress.2025.111067","url":null,"abstract":"<div><div>Recently, there has been increased interest in assessing the seismic fragility of industrial plants and process equipment. This is reflected in the growing number of studies, community-funded research projects and experimental campaigns on the matter. Nonetheless, the complexity of the problem and its inherent modelling, coupled with a general scarcity of available data on process equipment, has limited the development of risk assessment methods. In fact, these limitations have led to the creation of simplified and quick-to-run models. In this context, we propose an innovative framework for developing state-dependent fragility functions. This new methodology combines limited data with the power of metamodelling and statistical techniques, namely polynomial chaos expansions (PCE) and bootstrapping. Therefore, we validated the framework on a simplified and computationally efficient MDoF system endowed with Bouc–Wen hysteresis. Then, we tested it on a real nonstructural industrial process component. Specifically, we applied the state-dependent fragility framework to a critical vertical tank of a multicomponent full-scale 3D steel braced frame (BF). The seismic performance of the BF endowed with process components was captured by means of shake table campaign within the European SPIF project. Finally, we derived state-dependent fragility functions based on the combination of PCE and bootstrap at a greatly reduced computational cost.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111067"},"PeriodicalIF":9.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probabilistic resilience assessment of urban distribution power grids by fast inference of multi-source multi-terminal network reliability 基于多源多端网络可靠性快速推理的城市配电网概率弹性评估

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-17 DOI: 10.1016/j.ress.2025.111077

Yunqi Yan , Ying Chen , Zhengda Cui , Tannan Xiao

{"title":"Probabilistic resilience assessment of urban distribution power grids by fast inference of multi-source multi-terminal network reliability","authors":"Yunqi Yan , Ying Chen , Zhengda Cui , Tannan Xiao","doi":"10.1016/j.ress.2025.111077","DOIUrl":"10.1016/j.ress.2025.111077","url":null,"abstract":"<div><div>Urban power distribution grids featuring loopy topologies and integrated distributed generations pose significant challenges for efficient and precise resilience quantification against disruptive events. This paper presents a probabilistic resilience assessment framework tailored for such grids. Risk metrics grounded in loss of load probability (LOLP) and expected energy not served (EENS) are formulated to evaluate resilience across multiple temporal stages. A multi-source multi-terminal network reliability (MSMT-NR) modeling approach is proposed to characterize the stochastic impact of component failures on load point connectivity. A computationally efficient algorithm framework is developed for the inference of the MSMT-NR problem, comprising: (1) Derivation of analytical LOLP expressions for grid topologies exhibiting tree-like load subgraphs; (2) A deletion–contraction decomposition technique generating solvable tree subgraphs from arbitrary network structures; (3) A computational graph-based inference methodology enabling efficient MSMT-NR evaluation and automatic differentiation for sensitivity analysis of component importance measures. Strategies for enhancing scalability to large-scale grids are devised. Extensive case studies on a real-world 30,894-node distribution grid corroborate the efficiency and precision of the proposed approach.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111077"},"PeriodicalIF":9.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal intensity measure and probabilistic seismic demand model for the assessment of historical masonry buildings: application to two case studies 历史砌体建筑评估的最优烈度度量和概率地震需求模型：两个案例的应用

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-17 DOI: 10.1016/j.ress.2025.111149

Daniel Caicedo , Igor Tomić , Shaghayegh Karimzadeh , Vasco Bernardo , Katrin Beyer , Paulo B. Lourenço

{"title":"Optimal intensity measure and probabilistic seismic demand model for the assessment of historical masonry buildings: application to two case studies","authors":"Daniel Caicedo , Igor Tomić , Shaghayegh Karimzadeh , Vasco Bernardo , Katrin Beyer , Paulo B. Lourenço","doi":"10.1016/j.ress.2025.111149","DOIUrl":"10.1016/j.ress.2025.111149","url":null,"abstract":"<div><div>This paper presents a probabilistic seismic demand model (PSDM) as a relationship between intensity measures (IMs) and engineering demand parameters (EDPs) for the seismic assessment of two case studies resembling historical masonry buildings. The first one is representative of stiff monumental buildings, and the second of tall and slender masonry buildings. Both structures are modelled in the OpenSees software using three-dimensional macroelements that consider both the in-plane and out-of-plane response of masonry walls. A set of 100 accelerograms are selected to represent the seismic excitation. After full characterization of the seismic input in terms of IMs, both buildings are subjected to the action of these accelerograms to study the maximum structural response in the context of cloud analysis. The most suitable IMs are determined subsequently under the notions of efficiency, practicability, proficiency, and sufficiency. In addition, a composed measure is proposed as a linear combination in logarithmic space of the IMs that exhibit the best coefficient of determination (<em>R</em><sup>2</sup>) within the EDP vs. IM regression. This optimal composed measure is determined through machine learning-based Lasso regression. In the final stage of the study, fragility curves are derived to measure the likelihood of exceedance of certain levels of average roof displacement in terms of IM parameters.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111149"},"PeriodicalIF":9.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling multivariate degradation data with dynamic covariates under a Bayesian framework 贝叶斯框架下具有动态协变量的多元退化数据建模

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-04-17 DOI: 10.1016/j.ress.2025.111115

Zhengzhi Lin , Xiao Liu , Yisha Xiang , Yili Hong

引用次数: 0