测控技术2012，Vol.31Issue(5)：55-59,5.
基于谐波小波包的旋转机械故障诊断新方法
New Method of Fault Diagnosis for Rotating Machinery Based on Harmonic Wavelet Packet
摘要
Abstract
For fault vibration signal of rotating machinery is complicated dynamic nonstationary, a novel fault diagnosis method based on harmonic wavelet packet and Elraan neural network is proposed. Fault signal is decomposed by harmonic wavelet packet and the characteristic vectors of energy are extracted. Then these vectors are input into Elman neural network to distinguish faults. The result of experiment and comparation to BP neural network show that this method has significant advantage in fault diagnosis of rotating machinery.关键词
谐波小波包/能量/Elman神经网络/旋转机械Key words
harmonic wavelet packet/ energy/ Elman neural network/ rotating machinery分类
通用工业技术引用本文复制引用
张建刚,秦红义,王冬云,陈爽,张文志..基于谐波小波包的旋转机械故障诊断新方法[J].测控技术,2012,31(5):55-59,5.基金项目
河北省科学技术研究与发展计划项目(11213909D) （11213909D）
秦皇岛市科学技术研究与发展计划项目(201101A054) （201101A054）
