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番茄病害胁迫声发射信号采集与声源定位 预览 被引量:5

Detection and Identification for Disease Stress Tomato Acoustic Emission Signal
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摘要 以番茄为研究对象,利用声发射检测系统对番茄植株的声发射信号进行连续采集,利用上位机软件对采集到的数据进行处理和分析。对番茄的晚疫病病害胁迫声发射信号随病害程度变化进行了统计分析,得出染病植株的声发射现象并不像健康植株那样按照一定的生理周期规律发生,在染病早期作物声发射信号的频次大大增加并且随着病害严重程度而逐渐降低,并出现多峰现象。利用声发射信号到达两路传感器的时差和采集到的两路声发射信号频谱分布变化可以进行声发射源定位判断。 Acoustic emission(AE) signals of tomato plants were collected with AE signal detecting system.The collected data were processed and analyzed by using the upper machine software.By statistical analysis on changing of AE signal count with tomato late blight disease stress level,it was concluded that the plants with AE signal would not occur in physiological cycle like healthy plants.In the prophase of blight disease,the AE signal frequency dramatically increased,but decreased slowly in the crop disease progress.The multi-peak phenomenon emerged.Then,noise source location could be identified with time difference between two sensors and changing frequency distribution between different signals.
作者 王秀清 张春霞 杨世凤 Wang Xiuqing Zhang Chunxia Yang Shifeng(College of Electronics Information and Automation,Tianjin University of Science and Technology,Tianjin 300222,China)
出处 《农业机械学报》 EI CAS CSCD 北大核心 2011年第4期159-162,共4页 Transactions of the Chinese Society of Agricultural Machinery
基金 国家自然科学基金资助项目(61071207、60771014)
关键词 番茄 病害胁迫 声发射 信号分析 声源定位 Tomato Disease stress Acoustic emission Signal analysis Acoustic emission source identification
作者简介 王秀清,副教授,主要从事信号与信息处理研究,E-mail:lwxqly@163.com
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