摘要
针对水电机组故障多样性和复杂性,提出了一种结合小波包分解理论、BP神经网络和MatlabWebServer构建的水电机组远程监测诊断系统。
According to diversity and complexity of hydro-generator sets faults, a type of remote monitoring and diagnosis system based on wavelet package decomposition, BP neural networks is brought forward.
出处
《湖北电力》
2005年第4期3-4,8,共3页
Hubei Electric Power
关键词
小波包
能量特征
BP神经网络
水电机组
wavelet package
energy feature
BP neural networks
hydro-generator sets
