发动机故障特征量提取方法的研究

Extraction of Fault Eigenvalue of Engine

着重讨论了在发动机故障诊断中常用的故障特征量 ,在故障特征量提取中引入了小波分析方法 ,大大提高了故障特征强度。通过理论和实验方法 ,对这些故障特征量的敏感性进行了分析 ,为发动机的状态监测与故障诊断提供了依据。

This paper discusses some common fault eigenvalues in the fault diagnosis of engines.It raises intensity of fault characteristics that wavelet analysis is led into the extraction of fault eigenvalues.The sensitive analysis of those eigenvalues is made by using theoretical and experimental methods.Therefore,it lays a sound foundation for engine condition detection and fault diagnosis.