基于ISGMD-WT的矿井声发射信号去噪方法  

Acoustic emission signal denoising method of mine based on ISGMD-WT

作　　者：甘元平 黄超 苗鲁振 高丙朋[4] 程志登 Gan Yuanping;Huang Chao;Miao Luzhen;Gao Bingpeng;Cheng Zhideng(School of Safety Science and Engineering,Xinjiang Institute of Engineering,Urumqi 830091,China;Xinjiang Key Laboratory of Intelligent Coal Mine Disaster Control and Emergency Response,Urumqi 830091,China;Xinjiang Xingtao Dabei Mining Co.,Ltd.,Urumqi 830063,China;School of Electrical Engineering,Xinjiang University,Urumqi 830017,China)

机构地区：[1]新疆工程学院安全科学与工程学院,乌鲁木齐830091 [2]新疆煤矿灾害智能防控与应急重点实验室,乌鲁木齐830091 [3]新疆兴陶大北矿业有限公司,乌鲁木齐830063 [4]新疆大学电气工程学院,乌鲁木齐830017

出　　处：《电子测量技术》2025年第4期128-138,共11页Electronic Measurement Technology

基　　金：新疆维吾尔自治区自然科学基金(2024D01C28)项目资助。

摘　　要：地音监测技术作为探测矿井安全状况的重要手段正受到越来越多的关注,为了实现对矿井声发射信号的去噪,针对辛几何模态分解(SGMD)方法分析结果不确定性问题,提出了一种基于改进的辛几何模态分解(ISGMD)联合小波阈值(WT)的降噪方法。首先,通过设置能量熵增量和频率互相关系数阈值对SGMD分解的各辛几何模态分量(SGCs)进行筛选,得到信号中的有效成分和噪声成分。利用小波阈值对有效信号模态进行去噪并重构,实现对原始信号的去噪。为了验证该方法的有效性和鲁棒性,利用仿真模拟信号和实测信号对模型进行了实验研究。实验结果表明,该方法的运行耗时较少,信噪比最高为27.2 dB,均方根误差最小为0.039,降噪效果明显优于其他降噪方法。As an important means to detect mine safety,ground sound monitoring technology is receiving more and more attention.In order to achieve de-noising of mine acoustic emission signals,a noise reduction method based on improved symplectic geometric mode decomposition(SGMD)combined with wavelet threshold(WT)is proposed to address the uncertainty of analysis results of SGMD.Firstly,the symplectic geometric modal components(SGCs)decomposed by SGMD are screened by setting the energy entropy increment and frequency correlation number threshold,and the active and noise components of the signal are obtained.The effective signal mode is denoised and reconstructed by wavelet threshold,and the original signal is denoised.In order to verify the effectiveness and robustness of the proposed method,the model is experimentally studied by using simulated signals and measured signals.The experimental results show that the proposed method is less time-consuming,the highest SNR is 27.2 dB,and the smallest RMSE is 0.039.The noise reduction effect is obviously better than other noise reduction methods.

关 键 词：声发射信号 辛几何模态分解 辛几何分量 小波阈值去噪 信号处理 

分 类 号：TD652[矿业工程—矿山机电] TN912[电子电信—通信与信息系统]