An Ais Based Multi-Agent Fault Diagnosis System

摘要：

A multi-agent system(MAS)is usually used in cases where the problem is complex.data is decentralized.and computation is asynchronous.And the complexitY,capability,and robust nature of natural immune systems make artificial immune systems an inviting choice as a platform for developing fault diagnosis systems based on MAS.These properties are pertinent to fault diagnosis systems.In this paper,a novel approach to Ais based MAS fault diagnosis methodology for complex system is presented.The diagnosis scheme consist three kinds of agents：detecting agent,vaccine generation agent and interface agent.Through the three kinds of agent cooperating,it is proved that the system has the capabilities of robust,continuous study and effectiveness.

关键词： Multi agent system Artificial immune systems Real-value negative selection

作者: Bing Wu Shibo Xiong Jian Lin

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 1394-1497

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）