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Feature extraction from the engine measurement signal of mass characteristic based on wavelet analysis

机译:基于小波分析的质量特征发动机测量信号提取特征提取

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It was observed that the measurement signals contained some undesired parts in engine mass characteristic measurement test by single pendulum method, which brought some difficulties for extracting parameters of engine mass characteristic. The useable signals were separated from the undesired signals through the wavelet multi-resolution-analysis. Some parameters of the engine system such as the natural frequencies, logarithmic decrement, and the damping ratio were obtained using the useable signals. The impact of the damping on the natural frequencies of the system was also studied. The sources of the undesired signals and the defective workmanship were found by the features analysis of the undesired signals. Results show that the wavelet analysis is a useful tool with practical meanings that may be used to extract the structural dynamic parameters, improve the measurement accuracy and locate the damage in the engine system.
机译:观察到,测量信号通过单个摆型方法包含发动机质量特征测量试验中的一些不希望的部分,这带来了一些难以提取发动机质量特性的参数。通过小波多分辨率分析将可用信号与不期望的信号分离。使用可用信号获得发动机系统的一些参数,例如自然频率,对数减量和阻尼比。还研究了阻尼对系统自然频率的影响。通过对不期望的信号的特征分析,发现了不期望的信号的来源和缺陷的工艺。结果表明,小波分析是一种有用的工具,具有可用于提取结构动态参数的实用含义,提高测量精度并定位发动机系统的损坏。

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