摘要
详细介绍了小波包和模糊神经网络的基本概念和原理,并将其应用到双馈风力发电机组的齿轮箱故障诊断中,说明小波变换技术可以很好地提取齿轮箱振动过程中的特征信号,模糊神经网络可以柔性地处理齿轮箱振动信号的特殊数据。
This paper introduces in detail the basic concepts and principles of wavelet packet and fuzzy neural network,and applies it to the gearbox fault diagnosis of double-fed wind generator,which shows that wavelet transform technology can well extract the characteristic signals in the gearbox vibration process.Fuzzy neural network can deal with special data of vibration signal of gearbox flexibly.
作者
石慧
SHI hui(Kangpei,Taiyuan Garden Greenery Engineering Limited,Taiyuan,Shanxi Province,zip code:030000,Choma)
出处
《电工材料》
CAS
2021年第3期36-39,共4页
Electrical Engineering Materials
关键词
双馈风力发电机组
小波包
模糊神经网络
故障诊断
double-fed wind generating units
wavelet packet
fuzzy neural network
fault diagnosis
