文献类型：会议论文

英文题名：The application of adaptive genetic reduction algorithm in radar faults diagnosis

作者：Wei, Pan[1] Jiahe, Xu[2] Lei, Li[1]

第一作者：Wei, Pan

通信作者：Wei, P.

机构：[1] Electric Detection Department, Shenyang Artillery Academy, Shenyang 110867, China; [2] Department of Research, Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China

会议论文集：Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

会议日期：23 May 2011 through 25 May 2011

会议地点：Mianyang

语种：英文

外文关键词：Decision tables - Genetic algorithms - Radar - Reduction - Rough set theory

年份：2011

摘要：An improved adaptive genetic reduction algorithm based on knowledge dependability is presented in this paper when rough set theory and genetic algorithm are researched. There are four characters of the algorithm, which the initial population of binary code is restricted by attribute core of decision table, the fitness function in the algorithm is define through the dependability that decision attribute for condition attribute, the adaptive crossover probability and adaptive mutation probability are improved, and the new generation individuals are added correction operator. Using the algorithm radar faults is diagnosed and the simple rules can be obtained automatically. The diagnosis rules have the characteristic that fault premonitions and fault reasons parallelism can be correlated one by one. The defects of worse system veracity and lower efficiency can be avoided about expert fault diagnosis based on traditional fault tree. ? 2011 IEEE.