【摘要】 针对已有诊断系统的知识可重用性差、问题求解能力不足的缺点,研究了基于多Agent技术的多专家协同诊断系统,给出了系统的体系结构。采用模糊积分方法进行多专家诊断的结论融合,为了寻找最优的模糊密度值,提出了利用遗传算法进行模糊密度值优化,提高基于模糊积分方法的多专家诊断结论融合精度。针对所提出的算法,结合工程实际数据进行了分析,结果表明了该方法的有效性。更多还原

【Abstract】 In allusion to the bad reusability of knowledge,deficient ability of problem solving of developed fault diagnosis systems,the Collaborative Diagnosis System based on the multi-Agent technical is studied,the construct of the system is given.The fuzzy integral based fusion method is adopted in multi-experts fault diagnosis system,to determine the optimal fuzzy integral measure,the genetic algorithm is used to search the optimal fuzzy integral measure values to improve the fusion accuracy of the multi-experts diagnosis decisions.For the presented algorithm,an engineering data is analyzed,the result shows the validity of the algorithm.更多还原