Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference最新文献

{"title":"Possibility of Automated Ergonomic Evaluations in Virtual Reality Environments","authors":"Zdeněk Tůma, Luboš Kotek, J. Kroupa, P. Blecha, F. Bradáč","doi":"10.3850/978-981-14-8593-0_4628-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_4628-CD","url":null,"abstract":"The aim of the present research was to create a method for detecting the position and motions of the wrist and fingers at work, to design and create an experimental device to measure and evaluate the training task. Therefore, the issue of finger motions was searched, and the evaluation method was proposed. The experimental device used an optical device for motion monitoring, the so-called Leap Motion, which exports the measured data to a virtual environment created in the Unity3D development environment. This environment enables to read the required partial turning of the individual elements of the hand using the script. The training task consisted of a simple assembly. The evaluation is presented in this article.","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126283118","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}

{"title":"Simulation-based Multi-Criteria Evaluation of Cost-Risk-Effectiveness in Prognostic Maintenance Operations: A Case Study from Railway Industry","authors":"F. Dinmohammadi, B. Alkali, M. Shafiee, S. Saati, A. Labib","doi":"10.3850/978-981-14-8593-0_4215-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_4215-CD","url":null,"abstract":"Maintenance of physical assets plays a key role in a company's long-term profitability and has increasingly become an important element of business performance in the last decades. However, many organizations are under pressure to reduce their costs associated with maintenance operations while keeping high level of safety and reliability. Currently, the performance of maintenance programs in industries varies from corrective repair or replacement (through which the assets are restored to working condition in case of a failure) to prognostic programs (with the aim of detecting anomalies as early as possible to prevent a failure). To achieve the aim of reducing cost and increasing efficiency, the asset owners must determine what maintenance program should be adopted for each group of assets and also know when, where and how the maintenance procedures must be conducted. Simulation models are one of the most powerful techniques to assess the efficiency/effectiveness of maintenance programs. A simulation model has the capability to take into account system parameter uncertainties as well as to explore the feasibility of novel maintenance strategies. This paper presents a simulation-based multi-criteria approach to assess the effectiveness of various maintenance programs adopted for industrial plants and public facilities (e.g. preventive maintenance (PM), risk-based maintenance (RBM), condition-based maintenance (CBM), etc.) to save cost and reduce risk. A maintenance program with the best \"performance\" is chosen for execution by means of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). A case study of passenger door systems of the Class 380 trains on the Scotland’s railway transport network is provided to demonstrate how to use the model. Based on the results, CBM was found to be superior to other maintenance programs for the train passenger door units, followed by mileage-based PM.","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129859056","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}

{"title":"Evaluation of Empirical Bayes Estimators of Correlated Event Rates and Implications for Predicting new Product Reliability","authors":"Rafael Schwarzenegger, J. Quigley, L. Walls","doi":"10.3850/978-981-14-8593-0_4439-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_4439-CD","url":null,"abstract":"A method for estimating the reliability of a new product based on a comparative analysis of observed data for similar existing products has been motivated by an industry problem; see Quigley and Walls (to appear). Such estimates are required as part of contractual discussions with customers, as well as to inform the reliability program management for the new design. An empirical Bayes inference method has been developed based on a multivariate Poisson-Gamma probability model. The model aims to capture both aleatory and epistemic uncertainties. The latter are those which have the potential to be bought down by gathering more information such as learning about the existence of a potential design weaknesses. The model is multivariate since it involves modelling elements of the new product design reliability in relation to a set of relevant elements from multiple similar products. See, Quigley et al (2013) for more details of probability modelling of correlated events which provides a theoretical framework, and Quigley and Walls (2017) for an approach to construct prior distributions using empirical data.","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134397065","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}

{"title":"A Distributionally Robust Optimization Approach to the NASA Langley Uncertainty Quantification Challenge","authors":"Yuanlu Bai, Zhiyuan Huang, H. Lam","doi":"10.3850/978-981-14-8593-0_5639-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_5639-CD","url":null,"abstract":"We study a methodology to tackle the NASA Langley Uncertainty Quantification Challenge problem, based on an integration of robust optimization, more specifically a recent line of research known as distributionally robust optimization, and importance sampling in Monte Carlo simulation. The main computation machinery in this integrated methodology boils down to solving sampled linear programs. We will illustrate both our numerical performances and theoretical statistical guarantees obtained via connections to nonparametric hypothesis testing.","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129840496","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}

{"title":"Low-Cost Solutions for Maintenance with a Raspberry Pi","authors":"Martin Larrañaga, Riku Salokangas, O. Saarela, P. Kaarmila","doi":"10.3850/978-981-14-8593-0_3780-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_3780-CD","url":null,"abstract":"The paper describes how to develop an inexpensive automatic condition monitoring system that can reliably monitor the conveyor bearings. For this purpose, a Raspberry Pi 3 and a low-cost MEMS accelerometer have been used comparing the results to a more expensive data acquisition system. The project utilizes the open-source Mimosa data model that is installed to the Raspberry Pi to store and transmit data for analytics to diagnose the fault and determine the Remaining Useful Life (RUL). The required signal analysis is programmed with VTT Python O&M Analytics, which provides the ability to conveniently perform signal analysis, offering a comprehensive set of algorithms that can detect a bearing failure and calculate the RUL. The amplitudes of the bearing fault frequencies can be reliably seen using envelope analysis, and the magnitude of the amplitudes can be used to determine whether the bearing is defective. Furthermore, this article presents some possible low-cost data acquisition systems to monitor components in industrial use cases reliably. In conclusion, Raspberry Pi 3 is suitable for use in some industrial systems, for example, as a low-cost single-board computer for bearing maintenance. The goal of the project is to get a reliable and inexpensive data acquisition system for bearing maintenance and replace the more expensive one.","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122065068","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}

{"title":"Application of an Unvalidated Process Model to Define Operational Functional Failures","authors":"M. Schwarz, P. Schepers, J. Boggelen, R. Loendersloot, T. Tinga","doi":"10.3850/978-981-14-8593-0_3554-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_3554-CD","url":null,"abstract":"Comprehensive transient models (CTMs) are not readily available for complex industrial processes. In contrast, fundamentals-based process models (FbPMs) often are readily available and data-driven models (DDMs) can be readily developed. Generally, FbPMs have enough accuracy and safety margin to size equipment for steady-state operations but in contrast to CTMs, are not accurate enough to predict the unique operational responses required for applications, such as the definition of system functional failures in predictive maintenance (PdM). However, in the absence of more accurate models, FbPMs may be valid to indicate response trends or determine operational windows, with respect to safety and functionality. The case study is a Raw Material Preparation Plant, used to screen, grind and dry coal for an iron-making process. Following DDM construction through supervised machine learning from operational data, the validity of an available FbPM against operations is investigated through: (1) comparison of FbPM and DDM regression responses (2) consideration of physical phenomena and (3) comparison of sensitivity analysis results. Following validation, the definition and detection of functional failures in the plant as obtained from the FbPM will be used as the first step towards system PdM.","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115655905","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}

{"title":"Integrated Management of Safety and Security in Seveso Plants","authors":"M. Ylönen, J. Heikkilä, Minna Nissilä","doi":"10.3850/978-981-14-8593-0_4665-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_4665-CD","url":null,"abstract":"","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133757","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}

{"title":"Embedding Taking Safe Decisions Principles in Practice – A GB Rail Perspective","authors":"B. Gilmartin, D. Griffin","doi":"10.3850/978-981-14-8593-0_4015-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_4015-CD","url":null,"abstract":"","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117278373","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}

{"title":"An Object Tracking Method to Track Maintenance Objects by Object Detection based on Deep Learning in Induced Maintenance Environment","authors":"Chuan Sheng Liang, Chuan Lv","doi":"10.3850/978-981-14-8593-0_3828-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_3828-CD","url":null,"abstract":"","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"8 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124907584","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}

{"title":"Risk and Security Practices: Experiences from the E-LAND Project","authors":"Coralie Esnoul, Silje Arendt Olsen, B. A. Gran, Xueli Gao, Per-Arne Jørgensen, J. Simensen","doi":"10.3850/978-981-14-8593-0_5023-CD","DOIUrl":"https://doi.org/10.3850/978-981-14-8593-0_5023-CD","url":null,"abstract":"The increasing availability of renewable energy sources and the high expectations from end-users regarding energy dependability has forced a re-thinking of how the full potential of energy supplies can be released. E-LAND is a European project which concept is to develop a service bus application enabling energy islands to optimize the management of energy production and consumption, which focuses on communities of end-users’ needs instead of addressing the system operators’ requirements. In this new organization of the energy market, the risk ownership on devices and energy costs are shared by the energy islands, the grid owner and the energy supplier. To support the energy islands in their new role, the E-LAND final product must not add risk in the management of energy. Thereby, a risk assessment is performed to ensure that the concept, the solution, and the application to be delivered in E-LAND are safe, secure, and reliable. This paper describes the project risk management for the E-LAND project and gives examples of future potential users, best practices on how to access, communicate and manage project risks with multi-disciplinary and international partners. As the E-LAND solution needs to collect data from the users, this article also addresses the risk regarding privacy/security, how this particular risk is understood and communicated through mitigations to ensure that the final product is in agreement with the standards.","PeriodicalId":201963,"journal":{"name":"Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123708031","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}