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基于知识的信息融合优化诊断策略研究
引用本文:杨光,刘世春,李金国. 基于知识的信息融合优化诊断策略研究[J]. 测控技术, 2005, 24(11): 67-69
作者姓名:杨光  刘世春  李金国
作者单位:空军装备研究院雷达所,环境与可靠性试验中心,北京,100085;空军装备部,军械通用装备部,北京,100085
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.

关 键 词:融合  证据理论  诊断  基于知识
文章编号:1000-8829(2005)11-0067-03
收稿时间:2005-04-18
修稿时间:2005-04-18

Research on Knowledge-Based Information Fusion for Quick Diagnosis
YANG Guang,LIU Shi-chun,LI Jin-guo. Research on Knowledge-Based Information Fusion for Quick Diagnosis[J]. Measurement & Control Technology, 2005, 24(11): 67-69
Authors:YANG Guang  LIU Shi-chun  LI Jin-guo
Affiliation:1. Environmental and Reliability Test Center, Academe of Air Force, Beijing 100085; 2. Ministry of Air Arming, General Ordnance Office, Beijing 100085, China
Abstract:The request of information fusion in machinery diagnosis is introduced. The general fusion process based on D-S theory in diagnosis is described. And how to 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.
Keywords:fusion  evidence theory  diagnosis  knowledge-based  
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