摘要
从设备诊断领域中特征信号模式识别的应用角度,探讨了基于小波变换的特征提取与识别方法.首先讨论了小波变换及其基本性质,进而探讨了基于小波变换模量极大点的特征抽取及基于模量极大点的幅值沿尺度s演变的特征提炼方法,并构造了全局的相似性度量,最后给出了分析实例.
An approach to feature extraction and recognition of the characteristic signal is studied. The wavelet transform and its basic properties are discussed. An approach to feature extraction based on wavelet modulus maxima is suggested and a global distance function is presented. An application to fuel pressure waveform in a diesel engine is given as an example.
出处
《华中理工大学学报》
CSCD
北大核心
1993年第1期77-81,共5页
Journal of Huazhong University of Science and Technology
基金
国家自然科学基金资助项目
关键词
设备诊断
特征抽取
波形识别
equipments diagnosis
wavelet analysis
wavelet transform
feature extraction
waveform recognition
