摘要
设备故障定量风险分析和绩效指标评估面临缺少客观的可靠性和维修数据来建立实际故障概率和故障后果分布模型,参照国内外同类装置设备故障概率数据库进行风险分析具有局限性。为了提高设备风险管理和维修决策水平,研究开发了设备可靠性和维修数据采集和维修决策系统应用于风险评估、剩余工作寿命预测和维修任务优化。实践表明:研制的数据采集和维修决策系统能够积累设备可靠性和维修数据、量化风险分析结果和优化维修任务,从而提高设备运行的可靠性、可用性和安全性。
The quantitative risk analysis and performance indicator evaluation of equipment are facing the lack of reliability and maintenance data to carry out failure probability analysis. There is a limitation in using domestic and foreign database to evaluate the equipment in related process units. In order to improve the risk management and maintenance decision-making level,an equipment quantitative risk analysis data acquisition and maintenance decision-making system is developed to assess the risks,predict the residual working life and optimize the maintenance tasks. The practice shows that the established system can collect reliability and maintenance data accurately,quantify risk analysis and optimize maintenance tasks,and it has improved the reliability,availability and safety of equipments.
出处
《机械科学与技术》
CSCD
北大核心
2014年第6期905-908,共4页
Mechanical Science and Technology for Aerospace Engineering
基金
国家重点基础研究发展计划项目(2012CB026000)
国家自然科学基金重点项目(51135001)资助
关键词
定量风险分析
可靠性数据
维修数据
维修决策
维修任务优化
data acquisition
electronic data interchange
maintenance data
maintenance decision-making
maintenance task optimization
quantitative risk analysis
reliability data
