摘要
介绍了复杂设备对于信息融合诊断的需求,分析了D—S理论在处理基于规则的专家系统中的不 确定性方面的特点。在结合诊断对象分析的基础上,以D—S理论为基础,提出基于知识和系统诊断树 模型的证据组合的推理诊断策略和决策规则,并对该方法进行了验证。结合专家系统实现,可在保证准 确性的前提下快速、有效地实现诊断结果的产生。
The request of information fusion in machinery based on D-S theory in diagnosis is described. And how to diagnosis is introduced. The general fusion process solve the problems of quantitative representation and inference under uncertainty by D-S theory is discussed. Based on the construct and function analysis of the machine, a diagnosis tree can be constructed. So a inference diagnosis strategy and decision rule based on the knowledge and diagnosis tree model using the D-S combination rule are proposed. Then it is validated to be quick and efficient diagnosis with the knowledge-based system.
出处
《测控技术》
CSCD
2005年第11期67-69,共3页
Measurement & Control Technology
关键词
融合
证据理论
诊断
基于知识
fusion
evidence theory
diagnosis
knowledge-based
