基于倒频谱的水电机组状态数据诊断方法研究

Research of Diagnosis on Status Data of Hydropower Unit Based on Cepstrum

针对水电机组监测数据的特点,引入倒频谱分析方法,简要介绍了倒频谱的两种定义和信号分离方法,并设计了倒频谱算法的实现过程,最后以水电机组某故障特征数据开展倒频谱分析。结果表明,倒频谱方法是在复杂干扰背景下获取有用信息的一种有效手段,对于水电机组故障诊断从定性到定位的转变,具有一定的研究和应用价值。

According to the characteristics of hydropower unit,definition and signal separation method of cepstrum are introduced firstly in this paper,then a computation procedure is proposed to perform fault diagnosis on monitoring data by cepstrum method.Analysis results show that cepstrum method is an effective way to get the reliable information from the condition data with complicated disturbance.To the transition from qualitative to localization for fault diagnosis of hydropower units,it has certain research and application value.