Stochastic Resonance Based on Energy Analysis and Its Application to Surge Alarm

Jinjing Zhang, Yanzhao Sun, Kai Yin
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Abstract

Characteristic energy analysis of the stochastic resonance (EFESR) method is introduced for the identification on fluctuation of pressure pulsation for surge alarm of aircraft engine. The effect of stochastic resonance on the detection is optimized using parameters obtained in signal characteristics analysis. Upon processing employing the EFESR method, the amplitude of pressure pulsation signal is enhanced and the noise power is reduced, so that the fluctuation can be estimated with greater precision through energy analysis. The EFESR approach is applied to surge alarm of aircraft engine. The results of the test data show that surge was successfully captured and no false alarm by employing the EFESR method.
基于能量分析的随机共振及其在浪涌报警中的应用
介绍了随机共振(EFESR)方法的特征能量分析方法,用于航空发动机喘振报警压力脉动波动识别。利用信号特性分析得到的参数优化随机共振对检测的影响。采用EFESR方法处理后,增强了压力脉动信号的幅值,降低了噪声功率,从而可以通过能量分析更精确地估计波动。将EFESR方法应用于飞机发动机喘振报警。试验数据表明,采用EFESR方法能成功捕获浪涌,无虚警。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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