摘要
为了提高柴油机故障智能诊断的水平,解决应用传统的专家系统所出现的获取知识困难的问题,应用数据挖掘的原理,论述了柴油机智能故障诊断系统的设计思想、总体结构。将数据挖掘与专家系统有机地结合起来,设计了新的智能诊断系统的总体结构,从用户积累的大量故障数据中自动获取有用的知识,扩充知识库,有效地解决了知识自动获取“瓶颈”问题。
In order to advance the level of failure diagnosed and to resolve the problem difficulty of expert system in obtaining information the design principle and general structure of an intelligent troubleshooting system using a certain are put forward in this paper. The system combining Data Mining and Expert System （ES）,solves, and it obtaining information automatically from maximal data of user that were got together for a long time ,the ＂bottleneck＂ problem of knowledge acquisition effectively. The Data Mining method using concrete equipment is also conceded.
出处
《农机化研究》
北大核心
2006年第7期174-176,共3页
Journal of Agricultural Mechanization Research
