摘要
基于神经网络和专家系统的模拟电路故障诊断系统,其采集数据先输入到模糊处理模块进行模糊处理,再送人工神经网络模块推理。专家系统以神经网络的输出结果为依据进行反向不确定性推理,同时记录下推理轨迹。推理结果需进行融合处理,以提高诊断的可靠性,再根据融合结果检索操作指导数据库得到指导信息,最后得到诊断结论。
The simulation circuit fault diagnosis system based on NN and expert system adopts data, input it into fuzzyprocessing module for fuzzy processing. Then, send it to artificial NN module for illation. Based on NN output results, theexpert system carries out uncertain illation, and records illation track at the same time. Carry out fuse processing for illation results to improve diagnosis reliability. After that, acquire guidance information according to fuse results search guide database, At last, acquire diagnosis results.
出处
《兵工自动化》
2007年第10期65-67,共3页
Ordnance Industry Automation
关键词
故障诊断
模拟电路
神经网络
专家系统
模糊
Fault diagnosis
Analog circuits
Neural network (NN)
Expert system
Fuzzy