带式输送机光纤音频自适应小波降噪研究  

Study on Adaptive Wavelet Noise Reduction of Fiber Optic Audio for Belt Conveyor

作　　者：朱胜强 Zhu Shengqiang(Shanghai Co.,Ltd.,China Coal Technology and Engineering Group,Shanghai 200030,China;State Key Laboratory of Intelligent Coal Mining and Strata Control,Shanghai 200030,China;College of Electronic and Information Engineering,Tongji University,Shanghai 200092,China)

机构地区：[1]中煤科工集团上海有限公司,上海200030 [2]煤炭智能开采与岩层控制全国重点实验室,上海200030 [3]同济大学电子与信息工程学院,上海200092

出　　处：《煤矿机械》2025年第3期192-194,共3页Coal Mine Machinery

基　　金：天地科技股份有限公司科技创新创业资金专项项目(2023-TD-ZD005)。

摘　　要：针对带式输送机运行过程中噪声影响监测系统准确性的问题,提出了一种基于自适应阈值小波变换的光纤音频降噪方法。通过小波变换对音频信号进行多尺度分解,利用自适应阈值算法对细节系数去噪,再通过逆小波变换重建信号。实验结果表明,该方法能有效去除输送机运行中的环境和机械噪声,显著提高信号质量,为故障检测和状态监测提供了可靠支持。Aiming at the problem that the noise affects the accuracy of the monitoring system during the operation of the belt conveyor,proposed a fiber optic audio noise reduction method based on wavelet transform.The audio signal was decomposed at multiple scales by wavelet transform,the detail coefficients were denoised by adaptive thresholding algorithm,and then the signal was reconstructed by inverse wavelet transform.The experimental results show that this method can effectively remove the environmental and mechanical noise in the operation of the conveyor,significantly improve the signal quality,and provide reliable support for fault detection and condition monitoring.

关 键 词：小波变换 分布式光纤 降噪 带式输送机 

分 类 号：TD528.1[矿业工程—矿山机电]