基于滑动相关分析的混频非线性分量提取方法及其应用OA

To address the challenge of extracting weak nonlinear effects,a method for extracting mixed nonlinear components is proposed based on sliding correlation analysis.Finite element simulations are conducted to investigate the influence of time window width on the extraction results of mixed components.A sine signal modulated with a Hann window is selected as the reference signal,and when the time window width matches the excitation signal length,the extraction of mixed nonlinear components achieves the best results.Mixed nonlinear detection experiments are carried out on specimens with different bonding strengths,and the mixed components are extracted using three different methods.The results indicate that,compared with the three-excitation difference and polarity reversal methods,the sliding correlation analysis method simplifies the nonlinear detection process,allowing accurate extraction of the nonlinear mixed-frequency components using only a single detection signal.The normalized nonlinear coefficient obtained can effectively characterize the bond strength of the adhesive structure.