Reliability Engineering & System Safety最新文献_第4页

A multi-phase mission success evaluation approach for maritime autonomous surface ships considering equipment performance degradation and system composition changes 考虑设备性能退化和系统组成变化的海上自主水面舰艇多阶段任务成功评估方法

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-28 DOI: 10.1016/j.ress.2024.110604

Xiaofang Luo , Linghui Guo , Xu Bai , Yushan Li , Yingfei Zan , Jiaxuan Luo

{"title":"A multi-phase mission success evaluation approach for maritime autonomous surface ships considering equipment performance degradation and system composition changes","authors":"Xiaofang Luo , Linghui Guo , Xu Bai , Yushan Li , Yingfei Zan , Jiaxuan Luo","doi":"10.1016/j.ress.2024.110604","DOIUrl":"10.1016/j.ress.2024.110604","url":null,"abstract":"<div><div>With the development of Maritime Autonomous Surface Ships (MASSs), the mission success assessment problem cannot be ignored because of potential security issues of MASSs. This paper addresses the issue of performance degradation at different stages, the problem of state dependence in multi-stage missions of MASSs, and the correlation problem between missions of stages. Based on the coupling of the reliability model of each single-stage mission system, a multi-stage mission success evaluation method for MASSs is proposed. By leveraging the ability of the conditional probability tables in Bayesian networks to express the complex relationships between the nodes, the dynamic Bayesian network model of stages is constructed based on the fault tree. Based on the Markov process, the problem of state dependence on shared equipment between stages is solved. Considering the complex relationship between multi-stage missions, the virtual node is introduced, and the multi-state Bayesian network is combined to realize the coupling of the reliability evaluation results of each single-stage mission. It is applied to the multi-stage mission success evaluation of the MASS to obtain the success probability of MASSs and the key equipment of each stage. The results show that evaluation results are more suitable for engineering practice.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110604"},"PeriodicalIF":9.4,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554108","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

Advancing spacecraft safety and longevity: A review of guided waves-based structural health monitoring 提高航天器的安全性和寿命：基于导波的结构健康监测综述

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-28 DOI: 10.1016/j.ress.2024.110586

Sunquan Yu , Kai Luo , Chengguang Fan , Kangjia Fu , Xuesong Wu , Yong Chen , Xiang Zhang

{"title":"Advancing spacecraft safety and longevity: A review of guided waves-based structural health monitoring","authors":"Sunquan Yu , Kai Luo , Chengguang Fan , Kangjia Fu , Xuesong Wu , Yong Chen , Xiang Zhang","doi":"10.1016/j.ress.2024.110586","DOIUrl":"10.1016/j.ress.2024.110586","url":null,"abstract":"<div><div>The reusability and prolonged operation of spacecraft underscore the critical need for advanced structural health monitoring (SHM) systems. Guided waves-based SHM (GWs-SHM) offers an effective solution with its comprehensive coverage, enhanced sensitivity, and real-time monitoring capabilities, addressing the imperative for rapid anomaly detection and fault diagnosis. This study examines the application of GWs-SHM in spacecraft, focusing on the localization of space debris impacts, structural damage assessment, and leak detection. It discusses the challenges faced by spacecraft components and emphasizes the need for sophisticated SHM systems. Recent theoretical and methodological advancements in guided wave modeling and simulation are also reviewed. The paper further explores the integration of GWs-SHM with emerging aerospace technologies, such as space robots, artificial intelligence, multi-sensors data fusion, guided-wave based wireless communication and energy transmission. This work envisions significant advancements in spacecraft safety and operational longevity through the development of cutting-edge GWs-SHM technologies, urging for continuous innovation in sensor technology, algorithm development, and the integration of artificial intelligence for smarter decision-making in the challenging space environment.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110586"},"PeriodicalIF":9.4,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578693","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

Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions 用于变速条件下非稳态齿轮箱振动表示和故障检测的显式速度积分 LSTM 网络

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-28 DOI: 10.1016/j.ress.2024.110596

Yuejian Chen , Xuemei Liu , Meng Rao , Yong Qin , Zhipeng Wang , Yuanjin Ji

{"title":"Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions","authors":"Yuejian Chen , Xuemei Liu , Meng Rao , Yong Qin , Zhipeng Wang , Yuanjin Ji","doi":"10.1016/j.ress.2024.110596","DOIUrl":"10.1016/j.ress.2024.110596","url":null,"abstract":"<div><div>Condition monitoring of the gearbox plays a crucial role in implementing proactive maintenance strategies and minimizing the economic loss of unexpected failures. Gearboxes often operate under variable speed conditions, which makes the collected vibration monitoring signals non-stationary. Existing works did not explore the scientific structures that incorporate speed signals into the long short-term memory (LSTM) networks, and thus leave room for improvement at varying speed conditions. To this end, this paper proposes novel explicit speed-integrated LSTM (SI-LSTM) models to enhance the representation accuracy of non-stationary vibration signals and improve gearbox fault detection capability. The SI-LSTM models with three variants are designed to account for the effects of speed variations on vibration signals. In SI-LSTM model 1, the vibration and speed signals are directly merged and input into the LSTM network. In SI-LSTM model 2, the speed signal is integrated into the network before the final LSTM layer. SI-LSTM model 3 is designed with a dedicated LSTM layer for speed signal, and the state outputs of both speed and vibration LSTMs are then merged and input into a final LSTM layer. Comprehensive experiments are conducted on a helical fixed axis gearbox dataset and a planetary gearbox dataset, and finally SI-LSTM model 3 is the best recommended structure. Spectral analysis is used to demonstrate the effectiveness of SI-LSTM model 3. The performance are also compared with four state-of-the-art methods, and the SI-LSTM model 3 achieves the highest AUCs of 0.9998 and 0.9676 and the best vibration representation accuracy on fixed-axis and planetary gearbox datasets, respectively.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110596"},"PeriodicalIF":9.4,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586202","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

Urban natural gas pipeline operational vulnerability under the influence of a social spatial distribution structure: A case study of the safety risk patterns in Kunming, China 社会空间分布结构影响下的城市天然气管道运行脆弱性：中国昆明安全风险模式案例研究

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-25 DOI: 10.1016/j.ress.2024.110593

Jiarui Xu , Chunhou Ji , Lihong Yang , Yun Liu , Zhiqiang Xie , Xingfeng Fu , Fengshan Jiang , Mengfan Liao , Lei Zhao

{"title":"Urban natural gas pipeline operational vulnerability under the influence of a social spatial distribution structure: A case study of the safety risk patterns in Kunming, China","authors":"Jiarui Xu , Chunhou Ji , Lihong Yang , Yun Liu , Zhiqiang Xie , Xingfeng Fu , Fengshan Jiang , Mengfan Liao , Lei Zhao","doi":"10.1016/j.ress.2024.110593","DOIUrl":"10.1016/j.ress.2024.110593","url":null,"abstract":"<div><div>Frequent urban natural gas pipeline accidents pose a serious threat to the safety of people and property in surrounding areas. However, current research on natural gas pipeline risks primarily focuses on evaluating the pipelines themselves, with no established method for assessing the impact of pipeline disasters on surrounding areas. This paper proposes an urban natural gas pipeline risk assessment method that integrates the physical attributes of the pipelines with an analysis of social vulnerability based on urban social spatial distribution. Using urban Point of Interest (POI) data, a social spatial distribution model for potential natural gas pipeline accidents is constructed. The risk of pipeline failure is assessed based on physical vulnerability, while the consequences of failure are evaluated through social vulnerability. This method combines the analysis of physical and social vulnerabilities to achieve a comprehensive urban natural gas pipeline risk assessment. The results identified 68 out of 6148 pipelines in the study area as \"double high\" pipelines, characterized by high physical vulnerability (relatively high risk pipelines) and high social vulnerability (involving level IV areas). The high risk communities identified in the study area are the Cuihu West Road Community and the Daguan Commercial City Community, highlighting the characteristics of risk distribution. The findings suggest that this study contributes to improving urban resilience to natural gas pipeline incidents, reducing potential economic losses and public impacts, and enhancing urban public safety. It also provides new insights into natural gas pipeline risk assessment and urban public safety research.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110593"},"PeriodicalIF":9.4,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554007","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

Reliability analysis of IoV-based vehicle monitoring systems subject to cascading probabilistic common cause failures 基于 IoV 的车辆监控系统受级联概率共同原因故障影响的可靠性分析

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-24 DOI: 10.1016/j.ress.2024.110605

Chaonan Wang , Yingxi Lie , Yuchang Mo , Quanlong Guan

{"title":"Reliability analysis of IoV-based vehicle monitoring systems subject to cascading probabilistic common cause failures","authors":"Chaonan Wang , Yingxi Lie , Yuchang Mo , Quanlong Guan","doi":"10.1016/j.ress.2024.110605","DOIUrl":"10.1016/j.ress.2024.110605","url":null,"abstract":"<div><div>As an important application of the Internet of Things (IoT), Internet of Vehicles (IoV)-based vehicle monitoring systems (IVMSs), gathering, processing and communicating traffic and vehicle data, are installed in vehicles and deployed to avoid traffic accidents and ensure road safety. In this paper, the reliability of IVMSs subject to cascading probabilistic common cause failures (CPCCFs) is studied where a common cause (CC) may cause multiple system devices to fail probabilistically and the failures of some devices may further trigger failures of other system devices in a domino manner. Two combinatorial methods are proposed to handle complex cascading effects of directed acyclic graph structure and Hamilton loop structure, respectively. The proposed methods are applicable to any arbitrary time-to-failure distribution of devices and both external and internal CCs are considered. The applications and advantages of the proposed methods are illustrated through an IVMS example. The correctness of the methods is proved by Monte Carlo simulation. The time and space complexity of the methods is also analyzed.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110605"},"PeriodicalIF":9.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657361","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

Team-centered IDAC: Modeling and simulation of operating crew in complex systems - Part 2: Simulation aspects and application 以团队为中心的 IDAC：复杂系统中操作人员的建模与仿真--第 2 部分：仿真方面与应用

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-24 DOI: 10.1016/j.ress.2024.110529

Mandana Azarkhil , Ali Mosleh , Marilia Ramos

{"title":"Team-centered IDAC: Modeling and simulation of operating crew in complex systems - Part 2: Simulation aspects and application","authors":"Mandana Azarkhil , Ali Mosleh , Marilia Ramos","doi":"10.1016/j.ress.2024.110529","DOIUrl":"10.1016/j.ress.2024.110529","url":null,"abstract":"<div><div>Complex systems operations, such as Nuclear Power Plants (NPPs), generally require professional operating teams. Factors associated with teamwork, such as inappropriate communication and coordination, are important contributing factors to accidents and unsafe behavior. The impact of crew interactions on team effectiveness and, consequently, on the entire system, has yet to be fully and quantitatively explored in high-risk environments such as NPPs. Since a team is an interactive social system, team-specific issues must be studied and evaluated from a “team perspective”—based on team dynamics and processes. This paper is a part of a two-papers series that presents a simulation-based Team Model for NPP control room operations. Part 1 describes the theoretical fundaments of the model and details its elements. The current paper, Part 2, describes the simulation aspects and a full application of the method to an NPP four-steam generator feedwater system pipe break. It presents how to set up the simulation elements, such as hardware and humans within a team, using MATLAB Simulink. The method is demonstrated through a case study of an NPP four-steam generator feed water system pipe break. The results are discussed and assessed against theoretical and experimental findings.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110529"},"PeriodicalIF":9.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527387","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

Seismic risk estimates for reinforced concrete structures with incorporation of corrosion and aftershock 考虑腐蚀和余震因素的钢筋混凝土结构地震风险估算

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-24 DOI: 10.1016/j.ress.2024.110585

Zhou Zhou , Xiaohui Yu , Paolo Gardoni , Kun Ji , Dagang Lu

{"title":"Seismic risk estimates for reinforced concrete structures with incorporation of corrosion and aftershock","authors":"Zhou Zhou , Xiaohui Yu , Paolo Gardoni , Kun Ji , Dagang Lu","doi":"10.1016/j.ress.2024.110585","DOIUrl":"10.1016/j.ress.2024.110585","url":null,"abstract":"<div><div>Numerous reinforced concrete (RC) structures are exposed to aggressive environments, such as chloride, mainshock and aftershock. These environmental and extreme loads have the potential to increase the seismic risks during structure's service life. This study introduces a practical probabilistic methodology to estimate the seismic risk of corroded RC frame subjected to mainshock-aftershock sequences. In this methodology, a time-variant modeling strategy is used to simulate the geometrical and mechanical properties of structural degraded materials. The Bayesian updating theorem is employed to calibrate the demand models, which are then used to estimate the fragilities and confidence intervals considering the model uncertainties. A Copula-based approach is conducted to generate joint probability of mainshock and aftershock intensities and the seismic hazard of the mainshock-aftershock scenario. Finally, the seismic risk and associated confidence intervals are estimated by integrating over all mainshock and aftershock intensities levels. A typical corroded RC frame structure is used to illustrate the proposed methodology. The results show that the contribution of corrosion and aftershock would lead a 10 times higher seismic risks compared to scenarios considering only mainshock damage. It is necessary to account for the influence of both corrosion and aftershock in seismic design.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110585"},"PeriodicalIF":9.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527449","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

Sparse graph structure fusion convolutional network for machinery remaining useful life prediction 用于机械剩余使用寿命预测的稀疏图结构融合卷积网络

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-24 DOI: 10.1016/j.ress.2024.110592

Lingli Cui , Qiang Shen , Yongchang Xiao , Dongdong Liu , Huaqing Wang

{"title":"Sparse graph structure fusion convolutional network for machinery remaining useful life prediction","authors":"Lingli Cui , Qiang Shen , Yongchang Xiao , Dongdong Liu , Huaqing Wang","doi":"10.1016/j.ress.2024.110592","DOIUrl":"10.1016/j.ress.2024.110592","url":null,"abstract":"<div><div>Effective prediction of machinery remaining useful life (RUL) is prominent to achieve intelligent preventive maintenance in manufacturing systems. In this paper, a sparse graph structure fusion convolutional network (SGSFCN) is proposed for more accurate end-to-end RUL prediction of machine. A novel node-level graph structure called time series shapelet distance graph (TSSDG) is designed to convert the time series to node feature. The SGSFCN model is proposed to learn degradation information from the graph structure. In SGSFCN, a sparse graph structure (SGS) layer and a fusion graph structure (FGS) layer preceding the graph convolutional network (GCN) are designed to learn the SGS from node representation and fuse the original graph structure, enabling the graph structure and node update iteratively in subsequent layers. Concurrently, a bidirectional long short-term memory network (BiLSTM) layer is integrated to capture the global temporal dependencies. The method is validated by two test rig data, and results demonstrate that the proposed method offers significantly higher prediction accuracy of RUL compared to several state-of-art methods.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110592"},"PeriodicalIF":9.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578694","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 novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions 通过对抗策略预测轴承在不同条件下剩余使用寿命的两阶段新方法

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-24 DOI: 10.1016/j.ress.2024.110602

Yang Liu , Guangda Zhou , Shujian Zhao , Liang Li , Wenhua Xie , Bengan Su , Yongwei Li , Zhen Zhao

{"title":"A novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions","authors":"Yang Liu , Guangda Zhou , Shujian Zhao , Liang Li , Wenhua Xie , Bengan Su , Yongwei Li , Zhen Zhao","doi":"10.1016/j.ress.2024.110602","DOIUrl":"10.1016/j.ress.2024.110602","url":null,"abstract":"<div><div>It is critical to accurately predict the remaining useful life (RUL) of rolling bearings to avoid severe accidents and financial losses in the industry. Nevertheless, accurately determining the initial prediction time (IPT) continues to pose a challenge, and significant differences in the data distribution of bearings under different operating conditions are frequently overlooked. To deal with these problems, we propose a novel two-stage method based on the adversarial strategy for RUL prediction of bearings under variable conditions. Firstly, we create reliable health indicators in an unsupervised manner by recording the coded characteristics of the bearing’s state of health. Secondly, an adaptive threshold method based on rate-of-change (ATMROC) is developed to perform accurate health state classification. Finally, we propose a RUL prediction network based on the attention depth-gated recurrent unit with domain invariance (DIADGRU) to handle the inconsistent distribution of degradation features under different operating conditions. Experiments of RUL prediction on PHM2012 and XITU-SY datasets are implemented, and the promising results validate the effectiveness of the proposed method.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110602"},"PeriodicalIF":9.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571469","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

Label-guided contrastive learning with weighted pseudo-labeling: A novel mechanical fault diagnosis method with insufficient annotated data 使用加权伪标签的标签引导对比学习：注释数据不足情况下的新型机械故障诊断方法

IF 9.4 1区工程技术

Reliability Engineering & System Safety Pub Date : 2024-10-23 DOI: 10.1016/j.ress.2024.110597

Xinyu Li , Changming Cheng , Zhike Peng

{"title":"Label-guided contrastive learning with weighted pseudo-labeling: A novel mechanical fault diagnosis method with insufficient annotated data","authors":"Xinyu Li , Changming Cheng , Zhike Peng","doi":"10.1016/j.ress.2024.110597","DOIUrl":"10.1016/j.ress.2024.110597","url":null,"abstract":"<div><div>Exploring fault diagnosis methods for mechanical equipment with weak dependency on annotated data is essential for industrial production. Contrastive learning (CL), capable of learning representations without labeling information, has achieved satisfactory performance in mechanical fault diagnosis. However, current CL-based approaches mainly encounter two limitations. First, the pre-training stage uses either unannotated or annotated samples exclusively while the fine-tuning stage solely relies on annotated ones, leading to inefficient sample utilization. Second, the representation learned by contrastive loss alone in the pretext task is sub-optimal for downstream diagnostic tasks. To address these issues, this paper proposed a novel diagnostic framework based on label-guided contrastive learning (LgCL) and weighted pseudo-labeling (WPL) strategy to improve fault diagnosis accuracy. In the pre-training stage, the proposed LgCL integrates two types of contrastive loss together with classification loss, enabling the encoder to learn discriminative representations that directly benefit the downstream diagnostic task. The devised hybrid fine-tuning strategy allows both labeled and unlabeled data to participate in fine-tuning via pseudo-labeling, enhancing model generalization. The pertinently designed WPL strategy mitigates the defect of noisy pseudo labels. Comparison and ablation experiments on two public datasets and one self-designed dataset validate the superiority of the proposed method for fault diagnosis with limited annotated data, with diagnostic accuracies improved by 25.30%, 5.47% and 10.02% over supervised, semi-supervised and contrastive learning methods, respectively.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110597"},"PeriodicalIF":9.4,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554006","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