摘要
根据基于排气的发动机故障诊断中信息模糊、多变的特点,结合模糊逻辑系统的鲁棒性、神经网络的时变性和非线性等优势,建立了发动机故障诊断的模糊神经网络模型。模型的训练与测试结果表明,该模型提高了发动机故障诊断的准确性。
According to fuzzy and variable information in diagnosis based on emission analysis, it builds fuzzy neural network model of engine fault diagnosis that combines robustness of fuzzy logic system and time-variability and non-linearity of neural network. The training and test results indicate that this model enhances engine fault diagnosis＇s accuracy.
出处
《机械设计与制造》
北大核心
2007年第3期91-92,共2页
Machinery Design & Manufacture
基金
辽宁教育厅科技资助项目(202163344)
