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粗糙集和遗传算法集成的故障诊断知识获取
引用本文:梁颖红,张有承,张文静.粗糙集和遗传算法集成的故障诊断知识获取[J].苏州市职业大学学报,2009,20(2):45-48.
作者姓名:梁颖红  张有承  张文静
作者单位:1. 苏州市职业大学,计算机工程系,江苏,苏州,215104
2. 东北林业大学,信息与计算机工程学院,黑龙江,哈尔滨,150040
基金项目:哈尔滨市青年科学基金,黑龙江省博士后启动基金,苏州市职业大学科研基金 
摘    要:在分析智能故障诊断方法的基础上,提出了粗糙集和遗传算法集成的策略,进而给出了该方法的知识获取模型.该模型首先将粗糙集理论引入到故障诊断特征提取中,用于解决实际故障诊断数据样本分类边界不确定问题,接下来采用优化能力较好的遗传算法进行故障规则获取.通过实例验证表明:在有效保持故障诊断分类结果的情况下,该方法可以提取出最能反映故障的特征.

关 键 词:遗传算法  粗糙集  故障诊断

Knowledge Acquisition for Fault Diagnosis Based on the Integration of Genetic Algorithm and Rough Set
LIANG Ying-hong,ZHANG You-cheng,ZHANG Wen-jing.Knowledge Acquisition for Fault Diagnosis Based on the Integration of Genetic Algorithm and Rough Set[J].Journal of Suzhou Vocational University,2009,20(2):45-48.
Authors:LIANG Ying-hong  ZHANG You-cheng  ZHANG Wen-jing
Institution:1. Department of Computer Engineering, Suzhou Vocational University, Suzhou 215104, China; 2. College of Information and Computer Engineering, North East Forestry University, Harbin 150040, China)
Abstract:An integrated strategy of rough set and genetic arithmetic was proposed on the base of analyzing the method of fault diagnosis, and the model for knowledge acquired of this strategy was established. This model introduced rough set theory into feature selection for fault diagnosis, which could solve the problem that the classification boundary of real fault diagnosis data sets is often ambiguous. Then genetic arithmetic was used for extraction the rules of fault diagnosis. By a fault diagnosis example, this paper validated the method. The result shows that this method can efficiently extract the main fault features while the fault classification result is invariable.
Keywords:genetic arithmetic  rough sets fault diagnosis
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