传感技术学报2018，Vol.31Issue(6)：898-903,6.DOI:10.3969/j.issn.1004-1699.2018.06.015
基于小波-EEMD-Adaline网络的容栅传感器信号去噪方法
Research on Signal Noise Reduction of Capacitive Grid Sensor Based on Wavelet-EEMD-Adaline Network
摘要
Abstract
The capacitance of torsional vibration signal of rotating shaft detected by capacitive grid sensor is dis-turbed by environment noise and electromagnetic noise,which make the signal-to-noise ratio low and the faint signal hard to be extracted.This paper presents a wavelet-EEMD-Adaline adaptive linear neural network denoising method. The proposed method carries out wavelet denoising, EEMD denoising and Adaline denoising on the signal, using three-level denoising, noise filtering and cancellation to approximate the original signal. The effectiveness of this method is validated by using typical noise-added ultrasonic signals, Doppler signals and Block signals, compared with the denoising effect of EEMD denoising method,EEMD based on wavelet decomposition denoising method. The results of the verification experiment show that while the SNR of signal de-noising in the latter two methods is small ( both less than 20) ,the SNR( RMSE) of the proposed method,which SNR is improved by 90 and RMSE decreases from 1.038 5 to 0.009 5 for Doppler(9 dB)signal,increases(decreases)significantly. At last,the denoising results of weak signal with large noise measured by capacitive sensor circuit show that this method has better denoising per-formance,and the signal is smooth and stable after denoising.关键词
容栅传感器/小波/集合经验模态分解/Adaline神经网络/信号去噪Key words
grid sensor/wavelet/ensemble empirical mode decomposition/Adaline neural network/signal denoising分类
信息技术与安全科学引用本文复制引用
邓慧芳,孙传猛,杨孟,谢锐,魏涯峰..基于小波-EEMD-Adaline网络的容栅传感器信号去噪方法[J].传感技术学报,2018,31(6):898-903,6.基金项目
车辆行驶工况下传动系扭振特征参数提取及特性分析项目(201701D221122) （201701D221122）
