摘要
本文提出了一个基于深层知识的故障定位方法,该方法与 Kakawa 所提出的方法相比较,具有更全面地表达有关故障定位的知识和对故障源侯选节点进行更详细地分析等优点.这个方法比基于浅层知识的故障诊断专家系统具有更广泛的诊断能力.本文最后给出了这一方法在水泵系统故障定位中应用的示例。
This paper proposes an approach to fault localization based on deep knowledge for dynamic industrialsystems.Comparing with the Kakawa appraoch,the proposed method could more effectively represent theknowledge on fault location and determine fault candidates.It could be applied in more extensive rangethan regular expert systems based on shallow knowledge.The fault localization in a pump system is finallygiven to illustrate the real application of the proposed method.
出处
《信息与控制》
CSCD
北大核心
1989年第1期1-7,共7页
Information and Control
基金
国家教委科学基金
关键词
故障诊断
深层知识
专家系统
fault diagnosis
knowledge representation
expert systems
