A novel method for Analog Circuit Faults Diagnosis Based on CSA

Yu Wenxin, Wang Junnian, Mu Li, Li Yan, Sui Yongbo

Abstract


The paper emphasizes the way to the analog circuit fault diagnosis. The extreme learning machine(ELM) is used as classifier optimized by cuckoo search algorithm(CSA) and discussed in detail in the novel. The feasibility and effectiveness of the proposed method will be verified by the simulations of Sallen-Key low-pass filter circuit. Compared with other methods, the proposed method is more effective to identify and classify mistakes.


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References


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DOI: http://dx.doi.org/10.22385/jctecs.v13i0.216