摘要
介绍了铁路电务信号设备故障智能分析系统的知识分类,并以电液转辙机油缸动作不到位故障维修知识为例,介绍该系统的知识表示方法,分析了知识库的结构组成及各部分内容,该研究促进了铁路电务设备确立以设备状态修为主、预防性计划修为辅的维修模式,推进了电务维修体制和修程修制改革,提高了劳动生产率。
The paper was introduced classification of knowledge of intelligent analysis system of railway signal equipment faults. Taking action does not reach position breakdown maintenance of electro-hydraulic switch oil cylinder for an example, the paper was introduced knowledge representation of the system, and analyzed structure of the composition and the content of each part of knowledge base, which promoted maintenance mode of establishing priority to equipment state and comple- ment to preventive plarming, improved reforms of maintenance system of electricity service and improved labor productivity.
出处
《科技创新与生产力》
2013年第12期107-109,共3页
Sci-tech Innovation and Productivity
关键词
智能分析系统
知识库
模型
电务设备
微机监测
smart analytics system
knowledge base
model
electric service equipment
computer monitoring