摘要
从证据理论的基本概念和证据的融合推理方法出发,建立了多故障特征信息融合诊断框架,并提出一种符合故障诊断特点的基本可信度分配构造方法。该方法把诊断对象看作一个信息系统,运行过程中不断产生各种信息,并将信息加工成故障特征,通过特定的诊断决策规则,得出诊断结论。给出了一个多故障信息进行故障诊断的实例,结果表明该方法能够有效的提高诊断可信度,减小诊断的不确定性。
Starting with the basic conception and evidential fusion reasoning method of Dempster-Shafer evidential theory, multi-fault characteristic information fusion diagnosis frame is constructed. A new approach to fault diagnosis based on multi-information fusion of fault characteristic, Dempster-Shafer evidential theory and basic probability assignment contribution method is proposed. An example is present. It is shown that the method is good to improve the reliability of the diagnosis and decrease the uncertainty markedly.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第3期471-473,共3页
Systems Engineering and Electronics
基金
国家自然科学基金(69934030)
广东省自然科学基金(011629)资助课题
关键词
信息融合
证据理论
故障诊断
基本可信度分配
information fusion
evidential theory
fault diagnosis
basic possibility assignment
