摘要
将小波神经网络技术和D-S证据理论引入到发动机故障诊断中,利用小波神经网络良好的局部分析能力和融合特性,以及D-S证据理论对于不确定性故障的分析,提高了发动机故障诊断的精确性。
According to wavelet neural network＇s part analytical ability and fusion characteristic and analysis of uncertainty fault with D-S evidence theory ,this paper introduces D-S evidence theory and wavelet neural network to diagnose the faults of engine, which will effectively enhance accuracy of engine fault diagnosis.
出处
《内燃机》
2008年第2期31-34,共4页
Internal Combustion Engines
