Reliability Engineering & System Safety最新文献

{"title":"A three-stage bearing transfer fault diagnosis method for large domain shift scenarios","authors":"Kai Huang ,&nbsp;Zhijun Ren ,&nbsp;Linbo Zhu ,&nbsp;Tantao Lin ,&nbsp;Yongsheng Zhu ,&nbsp;Li Zeng ,&nbsp;Jin Wan","doi":"10.1016/j.ress.2024.110641","DOIUrl":"10.1016/j.ress.2024.110641","url":null,"abstract":"<div><div>In recent years, significant progress has been achieved in the intelligent fault diagnosis of bearings based on transfer learning. However, existing methods overlook the presence of domain-specific features that are non-transferable when aligning domain distributions. Additionally, the reliability of subdomain alignment has not been adequately evaluated. This severely restricts the diagnostic performance of transfer learning, especially in scenarios of large domain shifts. To address these issues, this paper proposes a novel approach based on three-stage transfer alignment. In the first stage, two private encoders, and a shared encoder are designed to eliminate domain-specific features, thus maximizing the effectiveness and transferability of shared encoded features. Subsequently, in the second stage, a deep adversarial domain adaptation method is introduced to adapt the global distributions between the two domains. Lastly, the third stage presents a novel soft pseudo-label distillation method, based on adaptive entropy weighting. This enhances alignment between subdomains, further bridging the distribution gap between the two domains. A series of comprehensive experiments under two types of large domain shift scenarios validate that the proposed method has a superior performance and could boost 6.93 % and 6.14 % accuracy than the state-of-the-art methods, respectively.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110641"},"PeriodicalIF":9.4,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657364","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}

{"title":"Optimal age replacement policies for k-out-of-n systems considering mission durations","authors":"Qin Zhang ,&nbsp;Zhigeng Fang","doi":"10.1016/j.ress.2024.110625","DOIUrl":"10.1016/j.ress.2024.110625","url":null,"abstract":"<div><div>In order to provide the required reliability of k-out-of-n systems during mission executing process, mission durations are integrated into age replacement policies for k-out-of-n systems. Then, the simple replacement, replacement first and replacement last are proposed respectively. In each replacement policy, optimum parameters are discussed analytically and numerical examples are given to demonstrate the accuracy of derivations. Via comparing with traditional replacement policies, the effectiveness of our suggested replacement policies is verified. Finally, the proposed policies are illustrated in maintaining the engine system of an unmanned copter, which aims to guide engineers to determine the best replacement policy in three situations.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110625"},"PeriodicalIF":9.4,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657359","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}

{"title":"Condition-based maintenance for multi-component systems: A scalable optimization model with two thresholds","authors":"İpek Kıvanç,&nbsp;Claudia Fecarotti,&nbsp;Néomie Raassens,&nbsp;Geert-Jan van Houtum","doi":"10.1016/j.ress.2024.110634","DOIUrl":"10.1016/j.ress.2024.110634","url":null,"abstract":"<div><div>Many original equipment manufacturers (OEMs) provide customized after-sales service contracts tailored to their customers’ specific requirements. While these customized offerings may increase customer satisfaction and loyalty, they are likely more expensive, and that in times that OEMs are striving to reduce maintenance costs and ease the workload of their service engineers. To address this challenge, we introduce a quantitative methodology for shaping maintenance policies that minimize overall maintenance costs for systems comprising multiple heterogeneous components over a finite lifespan. Our proposed two-threshold condition-based maintenance policy incorporates scheduled visits and semi-urgent interventions, using component-level control thresholds to preventively trigger component replacements. Scheduled visits provide opportunities for grouping component replacements, capitalizing on positive economic dependencies.</div><div>Our optimization model and solution methodology are tailored to systems consisting of numerous components. We assume a fixed time interval between consecutive scheduled visits, allowing us to employ a decomposition approach that ensures model scalability. The optimal policy for each component is determined by formulating a single-unit replacement model as a finite horizon Markov Decision Problem solved via dynamic programming. Simultaneously, at system level, we optimize the maintenance interval for the entire system using an iterative approach.</div><div>The results of our case study highlight that complementing scheduled visits with semi-urgent interventions - both triggering preventive replacements - leads to a reduction in the volume of corrective maintenance. From a practical standpoint, our findings offer valuable insights for OEMs seeking to enhance their after-sales service contracts while concurrently reducing maintenance-related costs. Specifically, our model is particularly valuable for OEMs that service systems with high shutdown costs, rely heavily on customer satisfaction, and favor more attractive policies for their service engineers (i.e., reducing the number of emergency corrective interventions).</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110634"},"PeriodicalIF":9.4,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657366","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}

{"title":"Standby component replacement strategy for a balanced system with a standby pool","authors":"Xian Zhao ,&nbsp;Chen Wang ,&nbsp;Siqi Wang ,&nbsp;He Han","doi":"10.1016/j.ress.2024.110627","DOIUrl":"10.1016/j.ress.2024.110627","url":null,"abstract":"<div><div>In this paper, a new rebalancing strategy is proposed by replacing the standby components for a balanced system with a standby pool. The working components are connected in series. All standby components are stored in a standby component pool. When the working components do not fail and the balance degree of the system does not exceed a threshold, the system can operate normally. The balance degree of the system is defined as the maximum state difference of all the working components. If the system becomes unbalanced or fails, a qualified standby component in the standby pool should be selected to replace the working component. The replacement strategy is given in detail. This paper uses the discrete-state continuous-time Markov process to derive the system reliability. Finally, a numerical example and sensitivity analysis are given. Considering the downtime cost and the cost of purchasing standby components, the number of standby components in the standby pool is optimized.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110627"},"PeriodicalIF":9.4,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657439","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}

{"title":"Tensor Poincaré plot index: A novel nonlinear dynamic method for extracting abnormal state information of pumped storage units","authors":"Fei Chen ,&nbsp;Chen Ding ,&nbsp;Xiaoxi Hu ,&nbsp;Xianghui He ,&nbsp;Xiuxing Yin ,&nbsp;Jiandong Yang ,&nbsp;Zhigao Zhao","doi":"10.1016/j.ress.2024.110607","DOIUrl":"10.1016/j.ress.2024.110607","url":null,"abstract":"<div><div>Efficiently extracting information from the massive data that characterize the abnormal condition is an important topic for pumped storage units (PSUs) operation and maintenance. Existing feature extraction methods for PSUs have weakened the connection between time and frequency domain features of signals, and the extracted information cannot fully represent the PSU operational state. Therefore, the paper proposes tensor Poincaré plot index (TPPI), a feature extraction method for quantifying PSU operation on multiple time and frequency scales. Firstly, the operational datasets are hierarchically decomposed and coarsely granulated to obtain components at different time and frequency scales. Secondly, the different components are sequentially transformed into Poincaré plots, and the key indexes of these plots are extracted, respectively. Finally, the proposed model is constructed by the extracted features and random forests. The proposed model is applied to two case of hydraulic anomaly identification and mechanical fault diagnosis, based on the measurement of the actual PSUs. The results show that indicators of this method are no less than 99.629 % and 99.660 %. In comparison experiments with 15 popular methods, the proposed model exhibits superior competitiveness, robustly affirming the advantages of the TPPI. The proposed method is helpful for promoting the intelligent construction of PSUs.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110607"},"PeriodicalIF":9.4,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657363","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}

{"title":"Investigation of the risk influential factors of maritime accidents: A novel topology and robustness analytical framework","authors":"Yuhao Cao ,&nbsp;Manole Iulia ,&nbsp;Arnab Majumdar ,&nbsp;Yinwei Feng ,&nbsp;Xuri Xin ,&nbsp;Xinjian Wang ,&nbsp;Huanxin Wang ,&nbsp;Zaili Yang","doi":"10.1016/j.ress.2024.110636","DOIUrl":"10.1016/j.ress.2024.110636","url":null,"abstract":"<div><div>This study aims to develop a novel and fully data-driven approach to analyse the maritime accidents risk influential factors (RIFs) by integrating Association Rule Mining (ARM) and Complex Network (CN) modelling. Firstly, a comprehensive dataset comprising 21,206 maritime accident records from Marine Accident Investigation Branch and Transportation Safety Board is collected and processed to serve as the foundational data source supporting the development of the new approach. Secondly, a novel Combined Association Rule Mining method is proposed to extract the interconnections among RIFs, with the mined results mapped into a CN framework. Finally, two importance ranking algorithms, namely the PageRank-Information-Entropy algorithm and edge betweenness centrality, are applied to identify the key RIFs and their information transmission paths. By simulating deliberate and random attacks within networks, a robustness analysis is conducted to further explore the evolution of RIFs. The findings reveal that ship-related factors demonstrate greater centrality and connectivity, exerting a more substantial influence on information propagation within the network structure. The robustness analysis illustrates that strategic node and edge removals are effective in preventing risk propagation. It therefore makes contributions to the development of a theoretical basis for stakeholders to develop cost-effective preventive measures against specific RIFs, ultimately enhancing maritime safety.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110636"},"PeriodicalIF":9.4,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657356","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}

{"title":"The STAP-Net: A new health perception and prediction framework for bearing-rotor systems under special working conditions","authors":"Tongguang Yang ,&nbsp;Dailin Wu ,&nbsp;Songrui Qiu ,&nbsp;Shuaiping Guo ,&nbsp;Xuejun Li ,&nbsp;Qingkai Han","doi":"10.1016/j.ress.2024.110633","DOIUrl":"10.1016/j.ress.2024.110633","url":null,"abstract":"<div><div>The health perception of bearing-rotor systems and their remaining useful life prediction has been a critical and challenging theme in the field of Prognostic and Health Management (PHM). Deep learning has become a prominent area of PHM research. However, current models have difficulty in adequately extracting the deep degradation characteristics of bearings and effectively capturing time-series information during the failure process. Also, most remaining useful life (RUL) prediction methods focus on point estimation, limiting their ability to quantify prediction uncertainty. To address these shortcomings, this study proposes a novel health perception and prediction framework, the Spatiotemporal Self-Attention Mechanism Probabilistic model (STAP-Net). The framework embodies the principles of lightweight design, focusing, and probabilistic approaches, and is tailored for bearing rotor systems operating under unique conditions. The key innovation of STAP-Net is the integration of a modified gate recurrent unit, known as the Weight Diminish Recurrent Unit (WDRU). It greatly reduces the training parameters of the proposed STAP-Net framework and improves the convergence speed of the framework while ensuring the prediction accuracy. Through analyzing the bearing-rotor system degradation data, the efficacy of STAP-Net is validated under special operating conditions such as misalignment and abrasive wear. The superior performance of the proposed framework is evaluated and confirmed based on 3 key metrics: high-precision point prediction, suitable prediction intervals, and reliable probabilistic prediction results.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110633"},"PeriodicalIF":9.4,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657367","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}

{"title":"A resilience-driven emergency maintenance operation scheme optimization method based on risk","authors":"Yanping Zhang ,&nbsp;Baoping Cai ,&nbsp;Salim Ahmed ,&nbsp;Chengyushu Wang ,&nbsp;Qingping Li ,&nbsp;Lei Gao","doi":"10.1016/j.ress.2024.110630","DOIUrl":"10.1016/j.ress.2024.110630","url":null,"abstract":"<div><div>System failure caused by unexpected disruptions is unavoidable and can lead to catastrophic consequences. To complete the emergency maintenance operation safely and efficiently, a well-formulated emergency maintenance scheme is crucial. A resilience-driven optimization methodology for the emergency maintenance operation scheme with considering maintenance operational risk is proposed. The maintenance operational risk is assessed by combining Job Safety Analysis, Bayesian networks and the matter element theory. A graphical evaluation and review technique (GERT) model is established based on the informed maintenance operational risk to evaluate the emergency maintenance scheme. According to derived results of the GERT model, the expected time and the expected risk are preliminarily optimized. A re-optimization model focusing on the system resilience is established to optimize the suitable maintenance operation time for each equipment and the reasonable equipment maintenance sequence for the system. The emergency maintenance scheme optimization for the subsea production system is utilized to demonstrate the proposed method.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110630"},"PeriodicalIF":9.4,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661333","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}

{"title":"An analysis and reliability-based optimization design method of trajectory accuracy for industrial robots considering parametric uncertainties","authors":"Chenxin Su ,&nbsp;Bo Li ,&nbsp;Wei Zhang ,&nbsp;Wei Tian ,&nbsp;Wenhe Liao","doi":"10.1016/j.ress.2024.110626","DOIUrl":"10.1016/j.ress.2024.110626","url":null,"abstract":"<div><div>To address the challenges of poor trajectory accuracy in industrial robots, which has emerged as a technological bottleneck hindering further robots’ applications in high-precision manufacturing industries, this paper proposes a method for the analysis and reliability-based optimization design for industrial robots’ trajectory accuracy considering parametric uncertainties. Firstly, the dynamic equation of an articulated industrial robot with six degrees of freedom is derived, incorporating the Stribeck joint friction model, followed by the uncertain parameter identification of this dynamic model. Subsequently, an uncertainty simulation system for the robot is established based on the constructed dynamic model and the sensitivity of system uncertain parameters to the robot trajectory accuracy is analyzed, where 10 key parameters are obtained among 54 uncertain parameters. Finally, a reliability-based multi-objective optimization design methodology is proposed synthesizing the robot trajectory accuracy, manufacturing cost, and quality loss, to achieve tolerance design of the robot's parameters, and enables minimizing costs and quality losses while ensuring the robot's trajectory accuracy reliability. The performance and practicality of the proposed method were validated using a six-degree-of-freedom rotary joint serial industrial robot as an example.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110626"},"PeriodicalIF":9.4,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657357","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}

{"title":"The Spectral Representation Method: A framework for simulation of stochastic processes, fields, and waves","authors":"George Deodatis ,&nbsp;Michael Shields","doi":"10.1016/j.ress.2024.110522","DOIUrl":"10.1016/j.ress.2024.110522","url":null,"abstract":"<div><div>The Spectral Representation Method (SRM) was developed in the 1970s to simulate Gaussian stochastic processes and fields from a Fourier series expansion according to the Spectral Representation Theorem. Since those early developments, the SRM has continuously evolved into a comprehensive framework for the simulation of stochastic processes, fields, and waves with a rigorous theoretical foundation. Its major advantages are conceptual simplicity and computational efficiency. In the 1990s, much of the theory for simulation of Gaussian stochastic processes, fields, and waves was firmly established and early methods for simulation of non-Gaussian processes, fields, and waves were introduced. In the 2000s and 2010s, methods that coupled the SRM with Translation Process Theory were improved to enable efficient and accurate simulations of stochastic processes, fields, and waves with strongly non-Gaussian marginal probability distributions. More recently, the SRM was extended for higher-order non-Gaussian processes, fields, and waves by extending the Fourier stochastic expansion to include non-linear wave interactions derived from higher-order spectra. This paper reviews the key theoretical developments related with the SRM and provides the relevant algorithms necessary for its practical implementation for the simulation of stochastic processes, fields, and waves that can be either stationary or non-stationary, homogeneous or non-homogeneous, one-dimensional or multi-dimensional, scalar or multi-variate, Gaussian or non-Gaussian, or any combination thereof. The paper concludes with some brief remarks addressing the open research challenges in SRM-based theory and simulations.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110522"},"PeriodicalIF":9.4,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657360","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}