光纤振动信号识别的线性尺度不一致校正方法  

The Correction Method for the Linear Scale Inconsistency in the Optical Fiber Vibration Signal Identification

作　　者：盛智勇 单彬彬 葛一飞 SHENG Zhiyong;SHAN Binbin;GE Yifei(Col. of Electronic and Information Engineering, North China Univ. of Tech., 100144, Beijing, China)

机构地区：[1]北方工业大学电子信息工程学院,北京100144

出　　处：《北方工业大学学报》2018年第2期20-26,共7页Journal of North China University of Technology

基　　金：国家自然科学基金(61571014);北京自然科学基金(4172017)

摘　　要：针对光纤振动信号存在线性尺度不一致的问题,本文提出了一种校正方法.首先,对数据进行预处理并截取等长的单个振动信号形成数据库;然后,将存在尺度不一致的信号进行梅林变换,使信号还原到同一尺度,得到不变特征的提取;最后,对数据进行傅里叶变换,获得频谱特征后,将校正前后的数据送入BP神经网络中进行分类.实验采用镐刨、挖地、小跑3种信号进行验证,校正后数据识别率分别提高了4%、10%和12%.实验结果表明该方法能够有效解决光纤振动信号尺度不一致问题,并与未校正数据相比,校正后数据进一步提高了信号识别率.For the problem of linear inconsistency in the optical fiber vibration signal,this paper puts forward a correction method.First,the data interception is performed in the vibration signals with equal length to form a database after preprocessing.Then,the signal of the scale inconsistency is transformed with Mellin transform to restore the signal to the same scale so as to get the invariant features extraction.Finally,the Fourier transform is adopted to obtain the spectral characteristics and the data before and after correction are further sent into BP neural network for classification.The experiment uses three kinds of signals,such as picking,digging and running,The data recognition rate after correction is increased by 4%,10% and 12% respectively.The experimental results show that the method can effectively solve the problem of scale inconsistency in fiber vibration signal,and the signal recognition rate is improved with the corrected data compared with the uncorrected data.

关 键 词：光纤振动信号 线性尺度 尺度变换 梅林变换 BP神经网络 

分 类 号：TN911.6[电子电信—通信与信息系统]