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基于滑动相关分析的混频非线性分量提取方法及其应用

郑相锋 张硕 郝晓军 焦敬品 孟蔚然 董月红

陕西师范大学学报(自然科学版)2026,Vol.54Issue(2):63-73,11.
陕西师范大学学报(自然科学版)2026,Vol.54Issue(2):63-73,11.DOI:10.15983/j.cnki.jsnu.2026207

基于滑动相关分析的混频非线性分量提取方法及其应用

A method for extracting mixing nonlinear components based on sliding correlation analysis and its applications

郑相锋 1张硕 2郝晓军 1焦敬品 3孟蔚然 1董月红4

作者信息

  • 1. 国家能源集团科学技术研究院有限公司,江苏 南京 210023||国能锅炉压力容器检验有限公司,北京 102200
  • 2. 国家能源集团科学技术研究院有限公司,江苏 南京 210023||北京工业大学 信息科学与技术学院,北京 100124
  • 3. 北京工业大学 信息科学与技术学院,北京 100124
  • 4. 国家能源集团科学技术研究院有限公司,江苏 南京 210023||低碳智能燃煤发电与超净排放全国重点实验室,江苏 南京 210023
  • 折叠

摘要

Abstract

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.

关键词

非线性超声/混频/弱信号提取/滑动相关分析/粘接强度

Key words

nonlinear ultrasound/frequency mixing/weak signal extraction/sliding correlation analysis/adhesive strength

分类

通用工业技术

引用本文复制引用

郑相锋,张硕,郝晓军,焦敬品,孟蔚然,董月红..基于滑动相关分析的混频非线性分量提取方法及其应用[J].陕西师范大学学报(自然科学版),2026,54(2):63-73,11.

基金项目

国家能源集团科技创新项目资助(GJNY-24-113) (GJNY-24-113)

陕西师范大学学报(自然科学版)

1672-4291

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