{"title":"Optimal burn-in for minimally repaired components from n subpopulations","authors":"Xiaoliang Ling, Ruijie Yin, Liying Wang","doi":"10.1177/1748006x231223280","DOIUrl":"https://doi.org/10.1177/1748006x231223280","url":null,"abstract":"Burn-in is a widely used technique to screen out defective components before they are put into field operation. In this paper, we propose a burn-in policy for the components from a heterogeneous population composed of [Formula: see text] ordered subpopulations. Assume that components can be minimally repaired when the failure occurs. We consider the total number of minimal repairs observed during burn-in process as a screening rule to remove defective components with poor reliability performance. First, we carry out the probabilistic analysis of the screening policy to show the effectiveness of burn-in. Second, we obtain the optimal burn-in settings which minimize the mean total cost or maximize the probability of passing the mission period. Finally, we give an example to illustrate the proposed model.","PeriodicalId":515204,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability","volume":"37 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139382393","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":"Operational reliability analysis of remote operated vehicle based on dynamic Bayesian network synthesis method","authors":"Chuan Wang, Song Yuan, Chao Yu, Xin Deng, Qiufan Chen, Liang Ren","doi":"10.1177/1748006x231211998","DOIUrl":"https://doi.org/10.1177/1748006x231211998","url":null,"abstract":"In this study, we propose a reliability framework that combines the GO method with fault tree analysis and integrates human factor reliability analysis. Taking the application of remotely operated vehicle (ROV) in underwater oil and gas production as an example, a reliability model of ROV operation process is established. The human reliability in the ROV operation process is analyzed on the basis of Cognitive Reliability and Error Analysis Method (CREAM) extension approach. The influence of human factor reliability and equipment reliability on the system is compared and analyzed. The importance of each operation step is also compared and analyzed. A sensitivity analysis of the ROV during operation is performed. This study provides a theoretical basis for the improvement and maintenance of the operational reliability of ROV. The proposed reliability modeling approach solves the reliability analysis problem of large and complex operating systems.","PeriodicalId":515204,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability","volume":"66 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139386168","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 new method for safety assessment of complex avionic systems","authors":"André Leblond, M. Batteux, Antoine Rauzy","doi":"10.1177/1748006x231206444","DOIUrl":"https://doi.org/10.1177/1748006x231206444","url":null,"abstract":"In this article, we propose a new approach for safety assessment of safety-critical systems. This approach, so-called Synthesis, is dedicated to the Preliminary System Safety Assessment included within the process of Safety Certification of avionic systems. The central idea consists in decomposing the assessment into two parts aiming at studying respectively the functional and the physical characteristics of the system under study. The whole approach is supported by a fully operational tool chain, dedicated to probabilistic safety assessment, which includes the AltaRica 3.0 integrated modeling environment, and a tool dedicated to the synthesis of functional minimal cutsets into physical minimal cutsets, making possible their quantitative assessment. We illustrate the benefits of the approach by means of a concrete avionic case study.","PeriodicalId":515204,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability","volume":"24 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139450774","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}