摘要
综合信号处理及模式识别理论 ,根据柴油机振动信号的特点 ,提出了一种柴油机气门故障诊断综合方法。详细阐述了将提取图像特征的神经网络法用于柴油机气门故障诊断的原理、过程以及故障分类。试验结果表明 ,该方法值得进一步研究。
A new diagnosis method for diesel engine faults is presented,which is based on the principle of mixing signal processing and model-recognition.Valid parameters are extracted.And a recognition system based on neural network was developed to classify the faults of diesel engine.Experiment results showed that the method is worth while for further study.
出处
《内燃机学报》
EI
CAS
CSCD
北大核心
2001年第3期241-244,共4页
Transactions of Csice
关键词
柴油机
故障诊断
数字图像
神经网络
气门
Diesel engine
Fault diagnosis
Digital-picture
Neural network
