强背景噪声下微弱声发射信号提取及处理研究现状

发布时间：2018-07-10 17:13

本文选题：声发射 + 噪声　；参考：《振动与冲击》2015年16期

【摘要】：针对故障诊断领域声发射信号因工作环境及采集设备自身影响常受强背景噪声干扰导致混叠失真问题,对故障诊断中声发射信号特性及处理流程、强背景噪声下声发射信号降噪方法(小波分析,ICA,EMD)、声发射信号特征提取及故障识别等国内外研究现状进行综述;分析总结声发射信号在降噪、特征提取及故障识别研究中存在的不足,探讨解决方法,展望声发射信号处理技术发展。
[Abstract]:Aiming at the aliasing distortion of acoustic emission signal in fault diagnosis field caused by strong background noise, the characteristics and processing flow of acoustic emission signal in fault diagnosis are analyzed. The research status of acoustic emission signal denoising under strong background noise (wavelet analysis ICA EMD), acoustic emission signal feature extraction and fault identification are summarized, and the noise reduction of acoustic emission signal is summarized. The problems in feature extraction and fault identification are discussed, and the development of acoustic emission signal processing technology is prospected.
【作者单位】：装甲兵工程学院装备再制造技术国防科技重点实验室;
【基金】：国家973计划资助(2011CB013405) 国家杰出青年科学基金资助(51125023)
【分类号】：TN911.7

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