2020 Annual Reliability and Maintainability Symposium (RAMS)最新文献_第2页

An Advanced Sustainment Modeling Approach for Global Defense Data Architecture 一种面向全局防御数据体系结构的高级维持建模方法

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153659

Vaibhav V. Suthar

引用次数: 1

Practical Experience of The Dependability Case to Deliver Real World Benefits – the Initial Case 可靠性案例为现实世界带来益处的实践经验——初始案例

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/rams48030.2020.9153670

R. Denning, N. Barnett

引用次数: 0

Modelling Reliability and Efficiency of English Community Pharmacy Processes 英语社区药房流程的建模、可靠性和效率

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153661

M. Naybour, R. Remenyte-Prescott, M. Boyd

引用次数: 0

Software and System Reliability Engineering for Autonomous Systems Incorporating Machine Learning 结合机器学习的自主系统的软件和系统可靠性工程

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153595

Aiden Gula, Christian Ellis, Saikath Bhattacharya, L. Fiondella

{"title":"Software and System Reliability Engineering for Autonomous Systems Incorporating Machine Learning","authors":"Aiden Gula, Christian Ellis, Saikath Bhattacharya, L. Fiondella","doi":"10.1109/RAMS48030.2020.9153595","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153595","url":null,"abstract":"Artificial intelligence and machine learning have attracted significant interest as enablers of autonomous systems. However, these techniques are susceptible to a variety of failures as well as adversarial attacks, suggesting the need for formal reliability and resilience engineering methods. Tempered by the knowledge that machine learning is not a panacea and that private industry, infrastructure management, and defense systems are regularly subject to external attack, it is essential to assess the possible failures and corresponding consequences that these technologies may inadvertently introduce. This paper seeks to bridge the gap between traditional and emerging methods to support the engineering of autonomous systems incorporating machine learning. Toward this end we seek to synthesize methods from established fields such as system and reliability engineering as well as software testing with recent trends in the design and test of machine learning algorithms. The proposed approach should provide organizations with additional structure to comprehend and allocate their risk mitigation efforts in order to address issues that will inevitably arise from these less well understood technologies.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133612891","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: 5

Using System Availability to Drive Logistics Decisions 使用系统可用性来驱动物流决策

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153716

Alastair Moubray, Jorge Hiraldo, M. Flanagan, Thaddeus Mateja

引用次数: 1

Thermal Fatigue in a Membrane Heat Exchanger with Environmental Degradation 环境退化膜式换热器的热疲劳研究

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153692

J. Pulido

{"title":"Thermal Fatigue in a Membrane Heat Exchanger with Environmental Degradation","authors":"J. Pulido","doi":"10.1109/RAMS48030.2020.9153692","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153692","url":null,"abstract":"Mechanical cooling systems are a critical element of the infrastructure needed for data centers. Effective and efficient cooling of data centers is relevant to the economic and environmental impact of data centers and the communities where they are located. This paper shows the risk elements associated with the development of an air-cooled system and determination of the system reliability. Risks to heating, ventilation and air conditioning (HVAC) equipment under free cooling conditions due to changes in the operating environment, including temperature, humidity, and contamination are evaluated. The most critical unknown factor in the assessment of reliability is the actual conditions under free air cooling, since there is not enough publicly available data to determine the actual environmental envelope under free air-cooling applications. In addition, the most significant difference between free air cooling and traditional air conditioning is the diversity of technical solutions among various free air-cooled data centers, which vary in terms of their location, the specific architecture of the free air cooling, and the inclusion of other power management methods in conjunction with free air cooling.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114421152","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

Human Factors Correlation Analysis for Nuclear Micro-Reactors Based on Literature Review and Evidence Theory 基于文献法和证据理论的核微反应堆人因相关性分析

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153723

Yunfei Zhao, Patrick Tosh, C. Smidts, R. Boring

{"title":"Human Factors Correlation Analysis for Nuclear Micro-Reactors Based on Literature Review and Evidence Theory","authors":"Yunfei Zhao, Patrick Tosh, C. Smidts, R. Boring","doi":"10.1109/RAMS48030.2020.9153723","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153723","url":null,"abstract":"Nuclear micro-reactors have drawn increasing attention in the nuclear industry since they can be potentially applied for a variety of purposes such as desalination and hydrogen production. Nuclear micro-reactors have unique characteristics (e.g. wider use of automation) compared with currently operating large nuclear power plants. These characteristics inevitably influence operator performance. To perform human reliability analysis and system design optimization, it is necessary to have a thorough investigation of such effects. To this end, in this paper we propose a method based on literature review and evidence theory to analyze human factor correlations for nuclear micro-reactors. A literature review is performed to identify studies related to characteristic human factors for micro-reactors. We divide human factors into independent variables that are used to characterize microreactors (e.g., level of automation) and dependent variables (e.g., situation awareness) that are influenced by the independent variables. The correlations between the independent and dependent variables are extracted from the reviewed studies. We should note that there may be conflicts between the correlations extracted from different studies. To address this problem, we use evidence theory to aggregate the potentially conflicting information to draw final conclusions about the correlations. The results obtained in this study demonstrate the high complexity of the relations between independent and dependent variables, including the uncertainties in the relations, the non-monotonic relations, and the inconsistent effects of one independent variable on different dependent variables. The potential applications of the results in human reliability analysis for nuclear micro-reactors and system design optimization are discussed.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"16 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123520147","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

Ensuring Aircraft Safety In Single Point Failures, Automation and Human Factors 在单点故障、自动化和人为因素下确保飞机安全

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153682

Syed Haider

{"title":"Ensuring Aircraft Safety In Single Point Failures, Automation and Human Factors","authors":"Syed Haider","doi":"10.1109/RAMS48030.2020.9153682","DOIUrl":"https://doi.org/10.1109/RAMS48030.2020.9153682","url":null,"abstract":"Modern aircraft are highly reliant on automation for safe and efficient operation. However, automation failure may result in aircraft developing an undesirable state from which it is difficult to recover using traditional hand flying techniques. The recent crash of single aisle aircraft has demonstrated how a benign sensor failure provided false indication that resulted in aircraft automated system action to overtake pilot’s pitch control and led to a flight path from which it finally could not recover. High level aircraft automation can cause gradual loss of pilots’ flying skills leaving them under prepared to cope with an actual emergency or failure and their recovery actions may be erroneous, delayed or incomplete. The risk of accidents caused by single-point failures; either single-point equipment failure or single human error needs to be mitigated by better design for safety and use of technology. The aviation industry is combining technological advances in automation and artificial intelligence with human factors engineering to fully integrate the pilot, the flight deck and the aircraft for increased safety. The industry goal remains to reduce incidents and the impact of human errors in aircraft systems by using technology to enhance human performance and flight safety.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"19 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122116887","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: 2

Automatic Fault Tree Generation from Radiation-Induced Fault Models 基于辐射诱导故障模型的故障树自动生成

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153630

R. Austin, N. Mahadevan, A. Witulski, G. Karsai, B. Sierawski, peixiong zhao, R. Reed

引用次数: 3

A New Metric for Time-Dependent Mechanism Reliability Analysis 时变机构可靠性分析的新度量

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI: 10.1109/RAMS48030.2020.9153617

Shuang Zhou, Jianguo Zhang, Jie Wu

引用次数: 0