兵工自动化
兵工自動化
병공자동화
ORDNANCE INDUSTRY AUTOMATION
2015年
4期
30-32
,共3页
人工免疫%否定选择%模拟电路%故障诊断
人工免疫%否定選擇%模擬電路%故障診斷
인공면역%부정선택%모의전로%고장진단
artificial immune%negative selection%simulation circuit%fault diagnosis
针对传统智能诊断技术受限于先验知识、模拟电路故障多样性等不足，对基于否定选择算法的模拟电路故障诊断进行研究。分析人工免疫系统中的否定选择算法原理及应用，介绍实值否定选择算法的产生机制，提出与自体耐受和Monte Carlo相结合的优化算法，通过Fish’s Iris数据仿真显示，并将优化算法运用于电阻电路的8种软故障诊断。结果表明：优化算法的总体检测率达90%，能降低成熟检测器冗余，节省计算空间。
針對傳統智能診斷技術受限于先驗知識、模擬電路故障多樣性等不足，對基于否定選擇算法的模擬電路故障診斷進行研究。分析人工免疫繫統中的否定選擇算法原理及應用，介紹實值否定選擇算法的產生機製，提齣與自體耐受和Monte Carlo相結閤的優化算法，通過Fish’s Iris數據倣真顯示，併將優化算法運用于電阻電路的8種軟故障診斷。結果錶明：優化算法的總體檢測率達90%，能降低成熟檢測器冗餘，節省計算空間。
침대전통지능진단기술수한우선험지식、모의전로고장다양성등불족，대기우부정선택산법적모의전로고장진단진행연구。분석인공면역계통중적부정선택산법원리급응용，개소실치부정선택산법적산생궤제，제출여자체내수화Monte Carlo상결합적우화산법，통과Fish’s Iris수거방진현시，병장우화산법운용우전조전로적8충연고장진단。결과표명：우화산법적총체검측솔체90%，능강저성숙검측기용여，절성계산공간。
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.
