Reliability Engineering & System Safety最新文献_第3页

Novel domain-adaptive Wasserstein generative adversarial networks for early bearing fault diagnosis under various conditions

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-27 DOI: 10.1016/j.ress.2025.110847

Zhendong Hei , Weifang Sun , Haiyang Yang , Meipeng Zhong , Yanling Li , Anil Kumar , Jiawei Xiang , Yuqing Zhou

{"title":"Novel domain-adaptive Wasserstein generative adversarial networks for early bearing fault diagnosis under various conditions","authors":"Zhendong Hei , Weifang Sun , Haiyang Yang , Meipeng Zhong , Yanling Li , Anil Kumar , Jiawei Xiang , Yuqing Zhou","doi":"10.1016/j.ress.2025.110847","DOIUrl":"10.1016/j.ress.2025.110847","url":null,"abstract":"<div><div>Due to the scarcity of labeled data, early fault diagnosis under various conditions faces significant challenges. In this paper, a novel data augmentation method is proposed, called as Domain-Adaptive Wasserstein Conditional Generative Adversarial Network (DA-WGAN), to acquire a significant quantity of labeled samples for early fault of bearing in dynamic scenarios. DA-WGAN is characterized by its inclusion of a domain adaptation module, which allows for the incorporation of features from unlabeled samples in various operating conditions during training. This mechanism promotes DA-WGAN to generate a significant amount of labeled samples that closely resembles the features in the target domain's operational scenarios. In addition, a multi-scale transfer learning model with an attention mechanism is proposed to address the issue of the generated data not fully replicating the feature distribution of the target domain. This enhances the alignment of the feature distribution in the generated data with that of the target domain data. Experimental studies on early fault diagnosis of bearing demonstrate that the proposed method generates high-quality labeled samples for various conditions, which can significantly improve the classification accuracy of early fault of bearing under various operational conditions.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110847"},"PeriodicalIF":9.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143286643","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

Safety risk propagation in complex construction projects: Insights from metro deep foundation pit projects

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-27 DOI: 10.1016/j.ress.2025.110858

Lipeng Fu , Xueqi Li , Xueqing Wang , Mengnan Li

{"title":"Safety risk propagation in complex construction projects: Insights from metro deep foundation pit projects","authors":"Lipeng Fu , Xueqi Li , Xueqing Wang , Mengnan Li","doi":"10.1016/j.ress.2025.110858","DOIUrl":"10.1016/j.ress.2025.110858","url":null,"abstract":"<div><div>Insufficient examination of safety risk propagation within complex construction projects (CCPs) leads to defective risk responses. This study attempts to exemplify metro deep foundation pit projects to investigate the mechanisms underlying this propagation. The interaction network of safety risk factors is constructed utilizing association rule mining and link prediction. A modified susceptible-infectious-recovered (SIR) model is used to simulate and analyze risk propagation within the network. The results highlight distinct risk propagation dynamics triggered by various initial hazardous/controlled factors. Risk factors from the owner or social environment are critical in initiating and controlling propagation, while those from the survey unit, designer, supervision unit, monitoring unit, working environment, or the contractor's organizational and managerial aspects have moderate effects. The contractor-related unsafe behaviors, mechanical, material, or structural factors, and natural environmental factors exhibit relatively limited impact. The ultimate risk level is contingent upon initial hazardous and controlled factors, with the risk controllability solely determined by the latter. It is recommended that the focus of safety management be broadened from contractors to owners and the social environment, and from isolated risk responses to risk network management. This study may deepen managers’ understanding of the sources of safety risk within CCPs, thereby promoting project success.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110858"},"PeriodicalIF":9.4,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143286323","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 modeling of explosibility of low reactivity dusts

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-26 DOI: 10.1016/j.ress.2025.110861

Mohammad Alauddin , Albert Addo , Faisal Khan , Paul Amyotte

{"title":"Probabilistic modeling of explosibility of low reactivity dusts","authors":"Mohammad Alauddin , Albert Addo , Faisal Khan , Paul Amyotte","doi":"10.1016/j.ress.2025.110861","DOIUrl":"10.1016/j.ress.2025.110861","url":null,"abstract":"<div><div>This work presents probabilistic models to estimate dust explosion severity parameters of low reactivity dusts while capturing uncertainty in the parameter estimations. The marginally explosible behavior of combustible dusts has also been explored for different ignition energies and dust concentrations. Low-reactivity dusts are mostly characterized by low-K<sub>St</sub> values (i.e., K<sub>St</sub> < 45 bar<strong><sup>.</sup></strong>m/s in the 20-L chamber), also referred to as marginally explosible. These dusts pose a major problem regarding explosion classification due to the uncertainty they present on the industrial scale (i.e., explodes in the 20-L chamber but not in the 1-m<sup>3</sup> chamber, and vice versa). The proposed model has been used to study the explosibility of carbon black and zinc dust samples based on data generated in a 20-L Siwek chamber. The outcomes in terms of variability of maximum explosion pressure and maximum rate of pressure rise have been represented using maximum probable values and credible ranges. The likelihood of selected dusts exhibiting marginal explosibility characteristics at varying concentrations and ignition energies is also presented. The findings can be useful for making dust explosion safety decisions and facilitating risk reduction opportunities in the processing and handling of explosible dust.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110861"},"PeriodicalIF":9.4,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143287508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Operational resilience modeling of cross-border freight railway systems: A study of strategies to improve proactive and reactive capabilities

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-25 DOI: 10.1016/j.ress.2025.110856

Haiwen Li , Lin Qi , Mudan Wang , Junying Liu

{"title":"Operational resilience modeling of cross-border freight railway systems: A study of strategies to improve proactive and reactive capabilities","authors":"Haiwen Li , Lin Qi , Mudan Wang , Junying Liu","doi":"10.1016/j.ress.2025.110856","DOIUrl":"10.1016/j.ress.2025.110856","url":null,"abstract":"<div><div>Cross-border freight railway systems (CBFRSs) are increasingly vulnerable to disturbances created by volatile international situations and worsening climate conditions. This study aims to develop measures for enhancing the operational resilience of CBFRSs against risks and uncertainties. A novel four-stage framework for studying the operational resilience of CBFRSs is proposed. Major disruptions affecting CBFRSs are identified, and resilience-enhancing strategies are presented. A hierarchical structure is then designed to divide operational resilience into proactive and reactive capabilities, using different metrics to categorize strategies for assessing these two capabilities. An evidence fusion–fuzzy Bayesian network model is proposed, employing triangular fuzzy numbers and Dempster–Shafer evidence theory to derive prior probabilities for disruptions and strategies, and conditional probabilities for disruption categories and resilience metrics. The actual train capacity, lost train capacity, and restored train capacity are introduced to quantify the operational resilience of CBFRSs. Using bidirectional reasoning and sensitivity analysis, the developed model simulates the evolution of operational resilience under multiple disruptions and various strategies, identifying the key strategies and pathways for enhancing resilience. A case study shows that enhancing resilience requires a holistic consideration of capabilities, metrics, and strategies, offering actionable insights for decision-making regarding the allocation of resilience measures in CBFRSs.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110856"},"PeriodicalIF":9.4,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143286634","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 distributed inference method integrating causal analysis and surrogate models for optimizing tuned mass damper parameters to enhance offshore wind turbine safety

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-25 DOI: 10.1016/j.ress.2025.110863

Ruixing Zhang , Liqiang An , Xinmeng Yang , Lun He , Zenghao Huang

{"title":"A distributed inference method integrating causal analysis and surrogate models for optimizing tuned mass damper parameters to enhance offshore wind turbine safety","authors":"Ruixing Zhang , Liqiang An , Xinmeng Yang , Lun He , Zenghao Huang","doi":"10.1016/j.ress.2025.110863","DOIUrl":"10.1016/j.ress.2025.110863","url":null,"abstract":"<div><div>This study proposes a Distributed Inference Method integrating Causal Analysis and Surrogate Models (DIM-CASM), which aims to predict the structural responses and damage of offshore wind turbines (OWTs) under varying environmental conditions while adaptively optimizing Tuned Mass Dampers (TMDs) to enhance structural safety. As a novel paradigm for surrogate model application, DIM-CASM leverages its unique distributed inference model structure and deployment approach to fully utilize indirect variables often ignored in traditional surrogate models. The logic of data transmission within DIM-CASM closely mirrors the load transfer and interference processes in OWTs, resulting in higher fitting accuracy. In a case study involving a 15MW OWT, DIM-CASM was used to identify TMD parameters that adapt to varying wind and wave conditions. Compared to traditional fixed-parameter TMD strategies, the adaptive TMD derived through DIM-CASM demonstrates significant improvements in reducing the tower structure's extreme responses and coefficient of variation. Moreover, the DIM-CASM framework exhibits a unique interpretability advantage, enabling new mechanistic explanations through comparative analysis of pre- and post-optimization causal graphs. This reveals that the TMD's role might involve disrupting the influence of vertical structural responses at the tower top on the longitudinal responses, providing valuable insights for future studies on optimizing structural control strategies.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110863"},"PeriodicalIF":9.4,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143219612","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

An improved cross-machine transfer strategy based on multi-source domain knowledge for abnormal sample recognition

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-25 DOI: 10.1016/j.ress.2025.110848

Zhenhao Yan, Bingqiang Zhou, Zenggui Gao, Weiping Nong, Lilan Liu, Yanning Sun

{"title":"An improved cross-machine transfer strategy based on multi-source domain knowledge for abnormal sample recognition","authors":"Zhenhao Yan, Bingqiang Zhou, Zenggui Gao, Weiping Nong, Lilan Liu, Yanning Sun","doi":"10.1016/j.ress.2025.110848","DOIUrl":"10.1016/j.ress.2025.110848","url":null,"abstract":"<div><div>Cross-machine transfer has garnered significant attention owing to its capacity to transfer diagnostic knowledge across different machines and address unforeseen operating conditions. Nevertheless, the personalized sample biases arising from industrial-specific conditions reduce the generalization performance of traditional cross-machine diagnostic methods. To address this, an enhanced cross-machine transfer strategy with multi-source domain knowledge (CMMK) is proposed for bearing fault diagnosis. Specifically, targeted training of model parameters is conducted to address the task challenges encountered in cross-device diagnosis. Multiple sets of source domain data are introduced for collaborative training, effectively mitigating feature discrepancies between samples from different distributions. To address ambiguous fault samples at class boundaries, adversarial training between independent task classifiers is incorporated, enabling precise fault identification under consistent working conditions. Furthermore, we introduce the custom threshold module and propose a novel residual block structure, which makes each residual block generate its own adversarial mechanism. Note that as the training progresses, the network parameters gradually evolve in a direction that aligns with the requirements of cross-device diagnosis. Finally, comprehensive experiments on extensive bearing fault datasets validate the superior diagnostic accuracy and generalization ability of the proposed CMMK compared to state-of-the-art methods.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110848"},"PeriodicalIF":9.4,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143286322","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

Invulnerability analysis of urban power system based multi-layer heterogeneous complex network considering high-security level

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-24 DOI: 10.1016/j.ress.2025.110860

Yichen Luo , Xiao Xu , Junyong Liu , Youbo Liu , Lixiong Xu , Weihao Hu

{"title":"Invulnerability analysis of urban power system based multi-layer heterogeneous complex network considering high-security level","authors":"Yichen Luo , Xiao Xu , Junyong Liu , Youbo Liu , Lixiong Xu , Weihao Hu","doi":"10.1016/j.ress.2025.110860","DOIUrl":"10.1016/j.ress.2025.110860","url":null,"abstract":"<div><div>The cyber-physical power system (CPPS) as a typical multi-layer heterogeneous network is widely employed in the field of cyber-attacks on urban power system. However, for the traditional attack methods, the high-security level of CPPS in urban core functional areas (UCFAs) is not considered, resulting in the identified critical links may not be attacked directly. For CPPS models, 5 G and IoT technology promote the deep integration of cyber-physical in CPPS, and the introduction of functional components with diverse scales and technologies intensifies the heterogeneous complexity of CPPS, causing the failure of traditional models. Moreover, most traditional methods only consider the varying attack times, also causing obstacles in analyzing the power loss in distinct UCFAs and various target destruction degrees (TDDs). Thus, a precise attack method is proposed for the invulnerability analysis of CPPS in UCFAs. Firstly, an actual CPPS model considering monitoring, energy supply, and control functional components is established. In this model, the diversity of functional components can reflect the heterogeneous complexity of the CPPS better. Then, based on functional observability theory, a precise attack model for CPPS in UCFA is developed. By attacking the minimum connected nodes set of the target area, the problem that the critical links of the target area with high security-security level cannot be directly attacked is solved. In addition, an attack strategy model is also developed to reveal the quantitative relationship between power loss rates and TDDs. Finally, the attack results are analyzed across four TDDs and the invulnerability of two UCFAs is evaluated. The case study illustrates that compared to the airport, the CBD has stronger invulnerability in a TDD of 40 % or more, and mild and general faults should be vigilant to avoid cumulative effects.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110860"},"PeriodicalIF":9.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143286644","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 multi-task selective execution policy considering stochastic dependence between degradation and random shocks by deep reinforcement learning

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-24 DOI: 10.1016/j.ress.2025.110844

Lujie Liu, Jun Yang, Huiling Zheng, Lei Li, Ning Wang

{"title":"A dynamic multi-task selective execution policy considering stochastic dependence between degradation and random shocks by deep reinforcement learning","authors":"Lujie Liu, Jun Yang, Huiling Zheng, Lei Li, Ning Wang","doi":"10.1016/j.ress.2025.110844","DOIUrl":"10.1016/j.ress.2025.110844","url":null,"abstract":"<div><div>To improve the efficiency of UAVs, it is common for a UAV to perform multiple tasks during each departure. However, existing mission abort policies primarily focus on scenarios where the system executes a single task and are not suitable to more complex multi-task missions. Moreover, in practice, degradation and random shocks often occur simultaneously, while existing studies typically only consider their separate effects on mission abort policies. To solve these problems, a multi-task selective execution policy considering the stochastic dependence between degradation and shocks is proposed to determine the next task for the system or the timing for mission abort. First, considering the health state of the system, location information, and the completion state of tasks, a multi-task selective execution policy is proposed. Next, to maximize the cumulative reward of the system, the corresponding sequential decision problem is formulated as a Markov Decision Process. Then, to address the dimensionality curse of continuous state space, a solution method based on deep reinforcement learning algorithms is tailored, incorporating an action masking technique to avoid repeated selection of already executed tasks. Finally, the effectiveness of the proposed method is verified through a numerical study using a UAV for multiple reconnaissance tasks.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110844"},"PeriodicalIF":9.4,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143286327","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 state-specific joint size, maintenance, and inventory policy for a k-out-of-n load-sharing system subject to self-announcing failures

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-23 DOI: 10.1016/j.ress.2025.110855

Sangqi Zhao , Yian Wei , Yao Cheng , Yang Li

{"title":"A state-specific joint size, maintenance, and inventory policy for a k-out-of-n load-sharing system subject to self-announcing failures","authors":"Sangqi Zhao , Yian Wei , Yao Cheng , Yang Li","doi":"10.1016/j.ress.2025.110855","DOIUrl":"10.1016/j.ress.2025.110855","url":null,"abstract":"<div><div>Making optimal decisions for system size and its components’ replacement and spare parts’ replenishment is crucial for the normal operation of a <em>k</em>-out-of-<em>n</em> system whose components deteriorate over time. This task is challenging when the components have load-dependent deterioration rates and the system is subject to self-announcing failures. In this paper, we develop a Semi-Markov decision process (SMDP) based reinforcement learning (RL) framework for designing a joint size and state-specific maintenance and inventory policy for such systems. The proposed policy outperforms the threshold-based policies in minimizing the system's overall cost rate. First, we identify the form of the state-specific policy that determines the number of components to be replaced and replenishment levels at aperiodic decision epochs. Second, we develop an SMDP-based framework for modeling the state transition process and overall cost rate of the system. The structural properties of the optimal policy are obtained, based on which we narrow the search space. Last, we propose a Dueling Double Deep Q-Network (D3QN) algorithm with invalid action masking to alleviate the dimensionality explosion issue caused by the large search space. A case study of a feedwater pump system illustrates the proposed policy's efficiency.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"257 ","pages":"Article 110855"},"PeriodicalIF":9.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143287505","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

Is our mission profitable: The cost-effectiveness curve with a possibility of a mission abort

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2025-01-23 DOI: 10.1016/j.ress.2025.110853

Maxim Finkelstein , Ji Hwan Cha

引用次数: 0