传感技术学报2017，Vol.30Issue(7)：1035-1039,5.DOI:10.3969/j.issn.1004-1699.2017.07.011
基于小波包与SOM神经网络的传感器故障诊断
Sensor Fault Diagnosis Based on Wavelet Packetand SOM Neural Network
摘要
Abstract
Sensor fault diagnosis is investigated.First,sensor's fault samples under various operation conditions are obtained by simulation with the MATLAB2015.Then fault samples are decomposed by a three-layerwavelet packet decomposition technology,and the energies of corresponding frequency in third layer are obtained,respectively.Eigenvector of sensor fault diagnosis is extracted by using the ratio between fault energies and faultlessenergies on various frequencies.Finally,a 3 by 3 SOM neural network based algorithm isproposed for pattern classification and fault diagnosis.The effectiveness and accuracy of the proposed method are illustrated by diagnostic results.关键词
传感器/小波包变换/SOM神经网络/故障样本/故障诊断Key words
sensor/wavelet packet transformation/SOM neural network/fault samples/fault diagnosis分类
信息技术与安全科学引用本文复制引用
李娟娟,孟国营,谢广明,贾一凡..基于小波包与SOM神经网络的传感器故障诊断[J].传感技术学报,2017,30(7):1035-1039,5.基金项目
国家"十三五"重点研发计划项目(2016YFC0600900) （2016YFC0600900）
国家自然科学基金项目(U1361127) （U1361127）
