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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性发动机测量信号特征提取

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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:观察到在单摆法发动机质量特性测试中,测量信号中包含一些不希望的部分,给提取发动机质量特性参数带来了一定的困难。通过小波多分辨率分析,将有用信号与不良信号分离。使用可用信号获得了发动机系统的一些参数,例如固有频率,对数递减和阻尼比。还研究了阻尼对系统固有频率的影响。通过不良信号的特征分析发现不良信号的来源和工艺上的缺陷。结果表明,小波分析是一种有用的工具,具有实际意义,可用于提取结构动力学参数,提高测量精度并确定发动机系统中的损伤。

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