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基于声发射技术的木材害虫信号特征检测
引用本文:豆春峰,熊鑫,李明,朱代根.基于声发射技术的木材害虫信号特征检测[J].西北林学院学报,2020,35(4):120-124.
作者姓名:豆春峰  熊鑫  李明  朱代根
作者单位:(西南林业大学 机械与交通学院,云南 昆明 650224)
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。

关 键 词:木材害虫  声发射  滤波  小波分解

 Signal Characteristics Detection of Wood Pests Based on Acoustic Emission Technology
DOU Chun-feng,XIONG Xin,LI Ming,ZHU Dai-gen. Signal Characteristics Detection of Wood Pests Based on Acoustic Emission Technology[J].Journal of Northwest Forestry University,2020,35(4):120-124.
Authors:DOU Chun-feng  XIONG Xin  LI Ming  ZHU Dai-gen
Affiliation:(College of Machinery and Transportation,Southwest Forestry University,Kunming 650224,Yunnan,China)
Abstract: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.
Keywords:wood pest  acoustic emission  filtering  wavelet decomposition
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