摘要
由于分布式多Agent故障诊断系统中各Agent知识和经验的限制,提供的结果和可信度将有所不同而很难得到一个正确解。所以在信息融合技术的基础上,提出了解决这类问题的四种信息融合方法。模糊信息融合方法、贝叶斯信息型融合方法、D-S证据理论信息融合方法和可信度信息融合方法。这些信息融合方法功能互补、相互配合协助多Agent故障诊断专家系统将来自不同Agent的、带有差异的结果进行融合,使融合后的结果比单个Agent的诊断结果可信度更高,从而提高故障诊断专家系统诊断结果正确率。
For the limits of the knowledge and experience of the Agent in the Fault Diagnosis System of Distributed Multi- Agent. The results and credibility which it provided will be so different that it's very difficult to get a correct solution. Therefore based on the technology of information fusion, we proposed four methods of information fusion to solute this problem. Fuzzy Information Fusion Method, Bayesian information-based fusion method, D-S evidence theory of information fusion method and The credibility of information fusion method. These information fusion methods can help with each other to assist the Expert System of multi-Agent Fault Diagnosis to fuse the different results which come from the different Agent, so that the new result will has higher credibility than a single Agent's result, so as to enhance the precision of the Fault Diagnosis Expert System.
出处
《电脑开发与应用》
2009年第9期25-27,共3页
Computer Development & Applications
关键词
信息融合
多Agent故障诊断系统
模糊信息融合
贝叶斯信息融合
D—S证据理论
information fusion, multi-agent fault diagnosis system, fuzzy information fusion, bayesian information-based fusion, D-S evidence theory information fusion