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皮带输送机托辊故障声源定位方法

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为实现对皮带输送机托辊故障实时监测,提出一种基于广义互相关时延估计的托辊故障声源定位方法,并开发相关系统.首先通过安装在与皮带输送机旁间隔一定距离处的传声器采集声音信号,采用VMD与包络谱峭度方法有效提取托辊声音信号的故障频率信息.随后采用广义互相关时延估计算法对声音信号中选定的IMF分量进行广义互相关时延估计,根据时延域中互相关系数最大值所对应的时间差确定时延,结合声音在空气介质中的传播速度,以及故障声源位置与传声器之间的空间几何关系,确定故障声源位置.最后开发出托辊故障声源定位系统并投入现场运行,实验和现场应用结果表明,采用所提方法及相关系统能够实现托辊故障声源的准确定位.
Sound Source Localization Method for Belt Conveyor Idler Faults
To realize real-time monitoring of belt conveyor idler faults,a sound source localization method for idler faults based on a generalized cross-correlation time-delay estimation algorithm was proposed,and a related system was developed.Firstly,through the sound sensor installed at a certain distance next to the belt conveyor,the sound signal was collected,and the VMD and envelope spectrum kurtosis method was used to effectively extract the sound information of the idler fault.Then,the generalized cross-correlation time delay of the selected IMF components of the sound signal was estimated using related algorithm,and the time delay was determined by the time difference corresponding to the maximum cross-correlation coefficient in the time delay domain.According to the propagation speed of sound in the air medium and the spatial geometric relationship between the fault sound source position and the acoustic sensor,the fault sound source position was determined.Finally,a sound source localization system for idler faults was developed and put into field operation.The experiment and field application results show that the proposed method and system can accurately locate idler fault sound sources.

fault diagnosisbelt conveyorsidler bearingsound source localizationtime-delay estimationgeneralized cross-correlation

张中盘、张明、时瑛、李宁钢、董帆、万书亭

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国能广投北海发电有限公司,广西 北海 536000

华北电力大学 河北省电力机械装备健康维护与失效预防重点实验室,河北 保定 071003

故障诊断 皮带输送机 托辊轴承 声源定位 时延估计 广义互相关

国家自然科学基金资助项目河北省自然科学基金资助项目保定市科技计划基础研究专项基金资助项目

52275109E20225020072172P010

2024

噪声与振动控制
中国声学学会

噪声与振动控制

CSTPCD北大核心
影响因子:0.622
ISSN:1006-1355
年,卷(期):2024.44(1)
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