摘要
采用能量分布特征提取方法和改进的BP算法,设计了一种基于小波神经网络的故障诊断系统,并应用于电机声频诊断技术。实验表明,此系统诊断结果与实际相符,验证了该小波神经网络故障诊断系统的有效性。
In this paper,a new efficient audio fault diagnosis system based on wavelet transform and neural network was presented,the background of wavelet transform was given,and an improved BP algorithm was introduced, The proposed fault diagnosis system was applied to audio of electromotor and the results showed that this developed system was effective.
出处
《自动化与仪表》
2006年第3期24-26,共3页
Automation & Instrumentation
关键词
小波变换
神经网络
故障诊断
wavelet transform
neural networks
fault diagnosis
