返回
RAMS data collection under Arctic conditions
DOI:10.1016/j.ress.2014.11.008.png)
摘要
En 中文
Reliability, availability, maintainability and supportability analysis is an important step in the design and operation of production processes and technology. Historical data such as time between failures and time to repairs play an important role in such analysis. The data must reflect the conditions that equipment has experienced during its operating time. To have a precise understanding of the conditions experienced, all influence factors on the failure and repair processes of a production facility in Arctic environment need to be identified and collected in the database. However, there is a lack of attention to collect the effect of influence factors in the reliability, availability, maintainability and supportability database. Hence, the aim of this paper is to discuss the challenges of the available methods of data collection and suggest a methodology for data collection considering the effect of environmental conditions. Application of the methodology will make the historical RAMS data of a system more applicable and useful for the design and operation of the system in different types of operational environments. (C) 2014 Elsevier Ltd. All rights reserved.
Keyword:
Arctic conditions
Data collection system
Maintainability
Reliability
Availability
Supportability
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
R
IF:
11
论文数:
9.0K
被引数:
4.2W
机构
引用论文
Condition-based inspection/replacement policies for non-monotone deteriorating systems with environmental covariates具有环境协变量的非单调退化系统的基于条件的检查/替换策略

