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Eksploatacja i Niezawodność – Maintenance and Reliability最新文献

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Modernization of the stamping process using eddy current and load sensors in the manufacturing of automotive parts 在汽车零件制造中使用涡流和负载传感器实现冲压工艺现代化
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-06-16 DOI: 10.17531/ein/189453
Juras Skardžius, Saulius Nagurnas, Paulius Skačkauskas
{"title":"Modernization of the stamping process using eddy current and load sensors in the manufacturing of automotive parts","authors":"Juras Skardžius, Saulius Nagurnas, Paulius Skačkauskas","doi":"10.17531/ein/189453","DOIUrl":"https://doi.org/10.17531/ein/189453","url":null,"abstract":"In this research, an experimental study is presented, which extends the usage of eddy current and load sensors in progressive stamping tools to optimize and continuously monitor the stamping process. The purpose of the research was to automatically detect material scrap before it leaves imprints on the part and based on the sensor’s readings, determine the optimal tool bottom position. The scrap thickness that needs to be detected was established in an experiment by visual evaluation of the result. To determine the optimal bottom position, a linear regression method was used, and the results were evaluated by part quality parameter. The research results consist of separate detection steps and the conclusion was made only after the serial type production. Overall results of scrap detection were influenced by the design of the existing tool. The bottom position detection consists of various readings interpretations and multi-step method descriptions. Based on the acquired results of both methods, implementing the in–die sensors was considered successful and applicable to new tools.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"1 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fault Detection and Prediction for a Wood Chip Screw Conveyor 木屑螺旋输送机的故障检测与预测
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-06-16 DOI: 10.17531/ein/189323
Mateus Mendes, Torres Farinha, Lucas Henriques
{"title":"Fault Detection and Prediction for a Wood Chip Screw Conveyor","authors":"Mateus Mendes, Torres Farinha, Lucas Henriques","doi":"10.17531/ein/189323","DOIUrl":"https://doi.org/10.17531/ein/189323","url":null,"abstract":"Equipment maintenance is a key aspect to maximize its availability. The present work focuses on data analysis of a screw conveyor of a biomass industry. The screw velocity and load were monitored and analysed, in order to detect and predict possible faults. A machine learning approach was used to detect anomalies, where different algorithms were tested with the data available, in order to train an anomaly classifier. The anomaly classifier was able to accurately identify most anomalies, based on historical data, temporal patterns and information of the maintenance interventions performed. The research carried out allowed to conclude that the Extra Trees Classifier algorithm achieved the best performance, among all algorithms tested, with 0.7974 F-score in the test set. The anomaly classifier has been shown to achieve remarkable accuracy in identifying anomalies. This research not only improves understanding of the performance of screw conveyors in biomass industries, but also highlights the practical utility of employing machine learning for proactive fault detection.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"5 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Concept of Multifactor Method and Non-Functional Requirements Solution to Increase Resilience through Functional Safety with Cybersecurity Analysis 多因素方法和非功能性要求解决方案的概念，通过功能安全与网络安全分析提高复原力
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-06-16 DOI: 10.17531/ein/189454
E. Piesik, Marcin Śliwiński, Narayanan Subramanian, Janusz Zalewski
{"title":"Concept of Multifactor Method and Non-Functional Requirements Solution to Increase Resilience through Functional Safety with Cybersecurity Analysis","authors":"E. Piesik, Marcin Śliwiński, Narayanan Subramanian, Janusz Zalewski","doi":"10.17531/ein/189454","DOIUrl":"https://doi.org/10.17531/ein/189454","url":null,"abstract":"In the process of designing safety systems, an integrated approach in safety and cybersecurity analysis is necessary. The paper describes a new technique of increasing resilience through integrated analysis of functional safety and cybersecurity. It is a modeling methodology based on the combination of the multifactor method utilizing modified risk graphs, used previously for Safety Integrity Level (SIL) assessment, and the Non-Functional Requirements (NFR) approach. The NFR approach, based on the analysis of graphical representation of conceptual and physical components of the system, contributes a technique to include cybersecurity through the Softgoal Interdependency Graph. The assessment methodology is outlined in detail and applied to a case study involving an industrial control system. The analysis turns out to be effective in both aspects: confirming the findings of the multifactor approach based on modified risk graphs and complementing the traditional analysis to increase resilience in discovering and mitigating security vulnerabilities for SIL assessment by the use of NFR.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141335854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accuracy of marine gravimetric measurements in terms of geodetic coordinates of land reference benchmark 陆地基准大地坐标的海洋重力测量精度
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-05-15 DOI: 10.17531/ein/188592
Krzysztof Pyrchla, Kamil Łapiński, Jakub Szulwic, Wojciech Jurczak, Marek Przyborski, Jerzy Pyrchla
{"title":"Accuracy of marine gravimetric measurements in terms of geodetic coordinates of land reference benchmark","authors":"Krzysztof Pyrchla, Kamil Łapiński, Jakub Szulwic, Wojciech Jurczak, Marek Przyborski, Jerzy Pyrchla","doi":"10.17531/ein/188592","DOIUrl":"https://doi.org/10.17531/ein/188592","url":null,"abstract":"The article presents how the values of (3D) coordinates of land reference points affect the results of gravimetric measurements made from the ship in sea areas. These measurements are the basis for 3D maritime inertial navigation, improving ships' operational safety. The campaign verifying the network absolute point coordinates used as a reference point for relative marine gravity measurements was described. The obtained values were compared with catalogue values. In verification of network points 3D position the satellite data Global Satellite Navigation System (GNSS) and ground supporting systems (GBAS) was used. In this example, the height difference of the land reference point was 0.32 m. As a consequence, the offset budget of the marine campaign was affected in the range of up to 0.35 mGal. The influence on gravity free-air anomaly was not constant over the entire area covered by the campaign.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"115 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140978216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A resilience-driven two-stage operational chain optimization model for unmanned weapon system-of-systems under limited resource environments 有限资源环境下无人武器系统的弹性驱动两阶段运行链优化模型
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-05-11 DOI: 10.17531/ein/188198
Yuanfu Zhong, Hongxu Li, Xuebin Zhuang
{"title":"A resilience-driven two-stage operational chain optimization model for unmanned weapon system-of-systems under limited resource environments","authors":"Yuanfu Zhong, Hongxu Li, Xuebin Zhuang","doi":"10.17531/ein/188198","DOIUrl":"https://doi.org/10.17531/ein/188198","url":null,"abstract":"Enhancing the battlefield resilience of unmanned weapon system-of-systems (UWSoS) through structural reconstruction requires scheduling additional physical resources. However, they are scarce in limited resource environments. To address the challenge of resource constraints, this paper focuses on improving the resilience of UWSoS by optimizing the operational chain of tasks after a disruption. First, a task-oriented resilience metric is proposed to characterize the impact of operational chain variations on UWSoS resilience. Based on this, a two-stage operational chain optimization model for UWSoS under limited resource environments is established, which considers the optimization actions of the edge node and rear command node in different resilience phases after the interruption for resilience enhancement. Finally, extensive simulation experiments validate the effectiveness and superiority of the proposed model. This work can support decision-makers in developing new task plans in disruption scenarios and serve as a transition approach to enhance UWSoS resilience.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":" 853","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic grouping maintenance optimization by considering the probabilistic remaining useful life prediction of multiple equipment 通过对多台设备剩余使用寿命的概率预测进行动态分组维护优化
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-05-11 DOI: 10.17531/ein/187793
Xiangang Cao, Xinyu Shi, Jiangbin Zhao, Yong Duan, Xin Yang
{"title":"Dynamic grouping maintenance optimization by considering the probabilistic remaining useful life prediction of multiple equipment","authors":"Xiangang Cao, Xinyu Shi, Jiangbin Zhao, Yong Duan, Xin Yang","doi":"10.17531/ein/187793","DOIUrl":"https://doi.org/10.17531/ein/187793","url":null,"abstract":"For multi-equipment maintenance of modern production equipment, the economic correlation and degradation uncertainty may lead to insufficient or excessive maintenance, increasing maintenance costs. This paper proposes a dynamic grouping maintenance method based on probabilistic remaining useful life (RUL) prediction for multiple equipment. Long short term memory (LSTM) is developed to predict the equipment probability RUL by the Variational Auto-Encoder (VAE) resampling. Then, the dynamic grouping maintenance model is constructed to minimize the maintenance cost rate under the known probabilistic RUL information. The gazelle optimization algorithm (GOA) is used to determine the optimal maintenance time for each equipment. To better verify the effectiveness of the proposed method, a numerical case with six wind turbines is introduced to analyse the performance of GOA. Moreover, the advantages of dynamic grouping maintenance is verified by comparing with independent maintenance, whose maintenance cost rate is reduced by 10.01%.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":" 1070","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Online Condition monitoring for Complex System based on Modified Broad Learning Systems 基于修正广义学习系统的复杂系统在线状态监测研究
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-03-24 DOI: 10.17531/ein/183600
Chong Wang, Jie Liu
{"title":"Research on Online Condition monitoring for Complex System based on Modified Broad Learning Systems","authors":"Chong Wang, Jie Liu","doi":"10.17531/ein/183600","DOIUrl":"https://doi.org/10.17531/ein/183600","url":null,"abstract":"Complex systems contain numerous interacting components, thus deep learning methods with powerful performance and complex structure are often used to achieve condition monitoring. However, the deep learning methods are always too time-consuming and hardware-demanding to be loaded into complex systems for online training and updates. To achieve accurate and timely monitoring of complex system state, based on broad learning system (BLS), an online condition monitoring method is proposed in this paper. General BLSs are based on a randomly generated hidden-layer, usually perform poorly in high-dimensional data classification tasks. In this work, based on correlation and causality, two modified BLSs are proposed and mixed to establish the online monitoring system. Specifically, logistic regression (LR) and structural causal model (SCM) are considered to form rough predictions of the system state, thus to replace the randomly generated ones with no practical significance. The effectiveness of the proposed online monitoring method is verified by both simulation data and real data.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140385823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The influence of the hydropneumatic accumulator on the dynamic and noise of the hydrostatic drive operation 液气蓄能器对静压传动装置运行动态和噪音的影响
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-03-17 DOI: 10.17531/ein/186169
M. Stosiak, M. Karpenko
{"title":"The influence of the hydropneumatic accumulator on the dynamic and noise of the hydrostatic drive operation","authors":"M. Stosiak, M. Karpenko","doi":"10.17531/ein/186169","DOIUrl":"https://doi.org/10.17531/ein/186169","url":null,"abstract":"The article presents the possibility of influencing the hydrostatic drive's dynamics and noise using a hydropneumatics accumulator. The possibility of limiting the maximum dynamic load during the start-up period of a drive equipped with an accumulator and controlled by a slide distributor is presented in the article. The influence of the accumulator on the sound pressure level and its relationship with the maximum dynamic values of the working fluid pressure in the hydraulic system is also described. Experimental studies of the dynamics and acoustics of laboratory hydrostatic systems were performed. A dynamic model of the hydrostatic drive equipped with an accumulator was developed, which was used to perform simulation tests illustrating the impact of the accumulator capacity on the system's dynamics. Acoustic tests were carried out for a system with a linear hydrostatic drive simulator.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"174 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140235597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 maintenance policy and buffer capacity for a two-component self-repairable serial system 联合优化双组件自修复串行系统的基于状态的维护策略和缓冲能力
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-03-13 DOI: 10.17531/ein/185581
Yinghao Meng, Mengmeng Lin, Zihao Xu, Zhen Yin
{"title":"Joint optimization of condition-based maintenance policy and buffer capacity for a two-component self-repairable serial system","authors":"Yinghao Meng, Mengmeng Lin, Zihao Xu, Zhen Yin","doi":"10.17531/ein/185581","DOIUrl":"https://doi.org/10.17531/ein/185581","url":null,"abstract":"This paper investigates a self-repairable serial system with two components and a buffer. Competitive failure processes are considered due to the internal degradation and external shock processes of components. The system reliability is calculated based on the integration of the internal degradation process and external shock process. When one of the components deteriorates to the PM or CM thresholds, it is restored to an imperfect state under dynamic time limitations based on the previous internal degradation and external shocks. As for the other component, it needs to be repaired or not according to the reliability of the component; it needs to be shut down or not based on the buffer status and the allocation of the component in the system. The optimal initial buffer capacity setting and PM threshold at minimum cost are found by minimizing the system's total cost in a given running cycle. Finally, numerical and case studies are provided to demonstrate the feasibility and superiority of the presented model.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"296 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140246918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Statistical Insights: Analyzing Shock Models, Reliability Operations and Testing Exponentiality for NBRUmgf Class of Life Distributions 统计见解：分析冲击模型、可靠性操作以及测试 NBRUmgf 类寿命分布的不可预测性
Eksploatacja i Niezawodność – Maintenance and Reliability Pub Date : 2024-02-25 DOI: 10.17531/ein/184185
Mahmoud M.E. Bakr, E. S. E. S. El-Atfy, Oluwafemi Samson Oluwafemi Samson Balogun, alaa Gadallah A. M. Gadallah
{"title":"Statistical Insights: Analyzing Shock Models, Reliability Operations and Testing Exponentiality for NBRUmgf Class of Life Distributions","authors":"Mahmoud M.E. Bakr, E. S. E. S. El-Atfy, Oluwafemi Samson Oluwafemi Samson Balogun, alaa Gadallah A. M. Gadallah","doi":"10.17531/ein/184185","DOIUrl":"https://doi.org/10.17531/ein/184185","url":null,"abstract":"This study deals with a novel category of life distributions called the new better than renewal used in moment generating function (NBRUmgf) class. It delves into the connections between this form of aging and established aging categories, along with its relevance in a shock model. Additionally, it explores how this aging concept remains consistent through certain reliability operations which is consider a very important tool in reliability engineering. The research computes Pitman's asymptotic efficiencies for this testing procedure, comparing them with alternative methods. Furthermore, the study furnishes a comprehensive table of percentiles for the test statistic associated with this proposed method. Furthermore, in order to showcase the relevance of the study's conclusions, we utilize distinct real-world datasets, which illustrate the effectiveness of our test across various types of real data.","PeriodicalId":335030,"journal":{"name":"Eksploatacja i Niezawodność – Maintenance and Reliability","volume":"24 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140432254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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