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针对水轮发电机组振动的频谱特点 ,提出了基于小波包分析的水轮发电机组振动的故障诊断方法 .运用小波包分析对振动信号进行分解与重构 ,可以获得振动信号的突变信息 ,即可以获得机组振动的故障状况 ,从而为诊断机组振动的故障状况提供决策支持 .理论计算表明 ,应用小波包分析技术不仅可以确定信号的突变点 ,而且可以在全频范围内确定信号的突变发生的时间及程度 .计算机仿真表明这种信号分析方法对水轮发电机组振动的故障诊断是十分有效的
Aiming at the spectrum characteristic of hydro-generator’s vibration, a fault diagnosis method of hydro-generator’s vibration based on wavelet packet analysis is proposed. By decomposing and reconstructing the vibration signal by wavelet packet analysis, the mutation information of vibration signal can be obtained, And get the fault condition of unit vibration, so as to provide decision support for the diagnosis of fault condition of unit vibration.Theoretical calculation shows that the application of wavelet packet analysis technology not only can determine the signal mutation point, but also determine the signal mutation in the whole frequency range of time And degree.Computer simulation shows that this method of signal analysis is very effective in the fault diagnosis of hydro-generator set vibration