计算机工程与应用2017，Vol.53Issue(3)：226-230,5.DOI:10.3778/j.issn.1002-8331.1505-0094
基于PMC模型的MWOFD算法
MWOFD algorithm based on PMC model
摘要
Abstract
In order to diagnose the fault units in the system, this paper firstly uses the Mussels Wandering Optimization algorithm to solve the system-level fault diagnosis problem, proposes an efficient fault diagnosis algorithm—the Mussels Wandering Optimization Fault Diagnosis(MWOFD). Combining with the characteristics of system-level fault diagnosis it proposes the Mussels Wandering encoding and initialization, and designs the new fitness function according to equation constraint conditions that the diagnostic model has to meet, at the same time it optimizes the existing binary mapping algo-rithm. Finally, the new algorithm is compared with AD-FAFD algorithm, FAFD algorithm and EAFD algorithm experi-mentally. Experimental results show that MWOFD algorithm improves the diagnostic accuracy and efficiency of diagnosis effectively.关键词
系统级故障诊断/方程模型/贝壳漫步算法/贝壳漫步诊断(MWOFD)算法Key words
system-level fault diagnosis/equation model/mussels wandering optimization algorithm/Mussels Wandering Optimization Fault Diagnosis(MWOFD)algorithm分类
信息技术与安全科学引用本文复制引用
宣恒农,赵冬,苗春玲,张润驰,刘田田..基于PMC模型的MWOFD算法[J].计算机工程与应用,2017,53(3):226-230,5.基金项目
国家自然科学基金重大研究计划资助项目(No.90718008) （No.90718008）
国家自然科学基金重点项目(No.6113305) （No.6113305）
江苏省自然科学基金(No.2004119) （No.2004119）
江苏省研究生培养创新工程(No.KYLX_0995). （No.KYLX_0995）
