Multi-Agent Building Electrical Fault Diagnosis System Based on Bayesian Network

摘要：

　　Building electrical system is an extremely crucial part in any buildings, its faults are special complex and dispersed.It is unable to satisfy the requirements that fast and generality of building electrical fault diagnosis only rely on artificial detection.Focusing on this problem, in this paper, the intelligent agent technology is applied in fault diagnosis system based on Bayesian network method.Firstly, the MAS (Multi-Agent System) building electrical fault diagnosis system based on BDI Agent is constructed.Then this paper expatiate the framework and diagnosis process of the MAS model based on Bayesian network.Finally analyzes the method and result of the building electrical system fault diagnosis based on Bayesian network.

关键词： fault diagnosis agent MAS (multi-agent system) Bayesian network

作者: Yunfeng Zhao Yahui Wang Yuexiao Liu Fangwen Chen

作者单位: School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture,Beijing 100044

会议类型: 国内会议

会议名称: 2016中国国际建筑电气节能技术论坛

会议地点: 武汉

会议语种:英文

页码: 128-131

在线出版日期: 2016-05-01（万方平台首次上网日期，不代表论文的发表时间）