摘要
给出一种声发射在柴油发动机故障检测诊断中应用的方法,采用自适应滤波、小波分析及神经网络等现代新技术,寻找故障诊断的新方法,并采用MATLAB进行了仿真研究。
The text gives a new way in diesel engine fault detection and diagnosis by acoustic emission,which combined adaptive filter, wavelet analysis and neural networks. All the technology adopted in this essay is simulated with MATLAB.
出处
《农业装备与车辆工程》
2006年第7期14-16,50,共4页
Agricultural Equipment & Vehicle Engineering
关键词
自适应滤波
故障检测
小波分析
神经网络
adaptive filter
fault detection and diagnosis
wavelet analysis
neural networks
