兵工自动化Issue(4)：30-32,3.DOI:10.7690/bgzdh.2015.04.009
基于否定选择算法的模拟电路故障诊断
Fault Diagnosis of Simulation Circuit Based on Negative Selection Algorithm
摘要
Abstract
Research the fault diagnosis of simulation circuit based on negative selection algorithm to deal with traditional intelligent diagnosis technology shortages such as prior knowledge limit and simulation circuit fault variety and so on. Analyze principle and application of negative selection algorithm in artificial immune system. Introduce the mechanism of the real-valued negative selection algorithm, proposes optimized algorithm which combines Monte Carlo with self tolerance. By means of Fish’s Iris simulation result, use optimized algorithm in the redundancy of detections and saves space of computer. Use optimized algorithm in the fault diagnosis of resistance circuit which has eight soft fault kinds. The results show that the total detection rate of optimized algorithm reaches 90%, it can reduce redundancy of mature detector, and save computation space.关键词
人工免疫/否定选择/模拟电路/故障诊断Key words
artificial immune/negative selection/simulation circuit/fault diagnosis分类
信息技术与安全科学引用本文复制引用
王玉珏,漆德宁..基于否定选择算法的模拟电路故障诊断[J].兵工自动化,2015,(4):30-32,3.
