军队维修体制从传统的定期维修、预防性维修向以可靠性维修（reliability centered maintenance，RCM）为指导的状态维修（condition based maintenance，CBM）和设备健康状态管理（equipment health management，EHM）方式过渡，是军...军队维修体制从传统的定期维修、预防性维修向以可靠性维修（reliability centered maintenance，RCM）为指导的状态维修（condition based maintenance，CBM）和设备健康状态管理（equipment health management，EHM）方式过渡，是军队维修工程信息化、智能化管理进程中的必经之路。介绍了状态维修的基本概念及层次结构，对其国内外应用现状及主要应用价值进行了分析，阐述了CBM在我军维修工程中的实施对策及对三级维修体制的影响。展开更多
从基于状态的维修（condition based maintenance,CBM）的本质内涵出发,分析了国外对CBM技术的应用现状,剖析了CBM对飞机论证设计、维修保障模式、维修保障内容、维修资源配置等的影响内容和要素,并提出了相应的应对策略,为我军实施CBM...从基于状态的维修（condition based maintenance,CBM）的本质内涵出发,分析了国外对CBM技术的应用现状,剖析了CBM对飞机论证设计、维修保障模式、维修保障内容、维修资源配置等的影响内容和要素,并提出了相应的应对策略,为我军实施CBM奠定了一定的理论基础。展开更多
针对传统的电力设备基于状态的维护(condition based maintenance,CBM)策略在进行建模及数据优化时出现结果精度不足的问题,提出了一种基于多源数据分析的变电站状态维护策略优化方法。首先,通过分析不同类型组件之间的互联关系,将变电...针对传统的电力设备基于状态的维护(condition based maintenance,CBM)策略在进行建模及数据优化时出现结果精度不足的问题,提出了一种基于多源数据分析的变电站状态维护策略优化方法。首先,通过分析不同类型组件之间的互联关系,将变电站分为不同的维护单元从而使同一单元内组件可同时维护;其次,为定量评估维护前后零件的可靠性,分别建立了基于健康指数(health index,HI)和寿命降低因子的失效率计算模型,并针对故障零件的位置和严重程度,提出了替代各类组件故障或缺陷的维护策略;再次,依据生命周期成本理论(life cycle cost,LCC),以最低总成本为维护周期优化目标建立了CBM优化模型。最后,通过应用实例验证了所提策略的有效性,该优化策略可显著提高变电站的供电可靠性及经济性。展开更多
Large sized power transformers are important parts of the power supply chain. These very critical networks of engineering assets are an essential base of a nation＇s energy resource infrastructure. This research ident...Large sized power transformers are important parts of the power supply chain. These very critical networks of engineering assets are an essential base of a nation＇s energy resource infrastructure. This research identifies the key factors influencing transformer normal operating conditions and predicts the asset management lifespan. Engineering asset research has developed few lifespan forecasting methods combining real-time monitoring solutions for transformer maintenance and replacement. Utilizing the rich data source from a remote terminal unit （RTU） system for sensor-data driven analysis, this research develops an innovative real-time lifespan forecasting approach applying logistic regression based on the Weibull distribution. The methodology and the implementation prototype are verified using a data series from 161 kV transformers to evaluate the efficiency and accuracy for energy sector applications. The asset stakeholders and suppliers significantly benefit from the real-time power transformer lifespan evaluation for maintenance and replacement decision support.展开更多
文摘军队维修体制从传统的定期维修、预防性维修向以可靠性维修（reliability centered maintenance，RCM）为指导的状态维修（condition based maintenance，CBM）和设备健康状态管理（equipment health management，EHM）方式过渡，是军队维修工程信息化、智能化管理进程中的必经之路。介绍了状态维修的基本概念及层次结构，对其国内外应用现状及主要应用价值进行了分析，阐述了CBM在我军维修工程中的实施对策及对三级维修体制的影响。
基金the research support granted by Taiwan's National Science Council and the Australian Government's Cooperative Research Centers Program
文摘Large sized power transformers are important parts of the power supply chain. These very critical networks of engineering assets are an essential base of a nation＇s energy resource infrastructure. This research identifies the key factors influencing transformer normal operating conditions and predicts the asset management lifespan. Engineering asset research has developed few lifespan forecasting methods combining real-time monitoring solutions for transformer maintenance and replacement. Utilizing the rich data source from a remote terminal unit （RTU） system for sensor-data driven analysis, this research develops an innovative real-time lifespan forecasting approach applying logistic regression based on the Weibull distribution. The methodology and the implementation prototype are verified using a data series from 161 kV transformers to evaluate the efficiency and accuracy for energy sector applications. The asset stakeholders and suppliers significantly benefit from the real-time power transformer lifespan evaluation for maintenance and replacement decision support.
