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基于声发射技术的木材害虫信号特征检测 被引量:4

Signal Characteristics Detection of Wood Pests Based on Acoustic Emission Technology
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摘要 针对木材害虫声发射(AE)信号检测问题,研究杨树木段中麻点豹天牛幼虫AE信号波形特征及其信号的能量,为钻蛀害虫声音的监测提出一种新的方法。取一段具有麻点豹天牛幼虫的杨树木段,通过采样频率为500 kHz的2通道木材蠕变声发射信号采集系统采集原始AE信号。对采集到的原始信号滤波后进行小波分解,通过对各层高频信号的分析获取AE信号的频域特征,并对其进行重构与信号解析。结果表明,麻点豹天牛幼虫AE信号的主频主要集中在30 kHz附近,其信号的能量在16:00最高,反映了该幼虫在15:00-16:00较活跃。 Aiming to solve the problem of acoustic emission(AE)signal detection of wood pests,the characteristics of AE signal waveform and its energy of Coscinesthes salicis larvae in Populus segments were studied,and a new method for monitoring the sound of borer insects was proposed.A section of Populus trees with larvae of C.salicis was collected.The original AE signal was collected by a two-channel acoustic emission signal acquisition system with a sampling frequency of 500 kHz.The original signal was filtered and decomposed by wavelet transform.The frequency domain characteristics of AE signal were obtained by analyzing the high frequency signals of each layer,and then reconstructed and analyzed.The results showed that the main frequency of AE signal of C.salicis larvae was mainly around 30 kHz.The highest signal energy was found at 16:00,indicating that the larva was active between 15:00 and 16:00.
作者 豆春峰 熊鑫 李明 朱代根 DOU Chun-feng;XIONG Xin;LI Ming;ZHU Dai-gen(College of Machinery and Transportation,Southwest Forestry University,Kunming 650224,Yunnan,China)
出处 《西北林学院学报》 CSCD 北大核心 2020年第4期120-124,共5页 Journal of Northwest Forestry University
基金 国家自然科学基金(31760182)。
关键词 木材害虫 声发射 滤波 小波分解 wood pest acoustic emission filtering wavelet decomposition
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