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首页> 外文期刊>Chinese Journal of Electronics >An Efficient Cuckoo Search Algorithm for System-Level Fault Diagnosis
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An Efficient Cuckoo Search Algorithm for System-Level Fault Diagnosis

机译:用于系统级故障诊断的高效杜鹃搜索算法

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摘要

We propose a new efficient algorithm named Cuckoo search fault diagnosis (CSFD) to solve system-level fault diagnosis problem. KMP algorithm is proposed for initialization based on the K-means partition algorithm; a fitness function is designed according to the equation constraints satisfied by the test model; the binary mapping method is advanced by optimizing existing binary mapping algorithm. Experiments show that KMP algorithm significantly reduces the disparity between the initial solution and the actual solution, and CSFD algorithm improves the efficiency and correctness significantly compared with existing typical swarm intelligence diagnosis algorithm.
机译:为了解决系统级的故障诊断问题,我们提出了一种新的有效算法,称为Cuckoo搜索故障诊断(CSFD)。提出了一种基于K均值划分算法的KMP算法进行初始化。根据测试模型满足的方程约束设计适应度函数;通过优化现有的二进制映射算法来改进二进制映射方法。实验表明,与现有的典型群体智能诊断算法相比,KMP算法显着减小了初始解与实际解之间的差异,CSFD算法显着提高了效率和正确性。

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