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Chaotic Property Identification and Prediction of Performance Degradation Time Series for Hydropower Unit

机译:水电机组性能退化时间序列的混沌特性识别与预测

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The performance degradation time series of hydropower unit is reconstructed in phase space by using the chaos theory. Chaotic property of the series is found through analysis. The degradation time series is predicted based on the adding-weight one-rank local-region method. The condition monitoring data of hydropower unit are used to verify the proposed method. The results show that it is feasible to predict the performance degradation of hydropower unit by using the chaos prediction method. The proposed method has high accuracy. It is a new way to operate and maintain the hydropower unit.
机译:利用混沌理论,在相空间中重构了水电机组性能退化的时间序列。通过分析发现该序列的混沌性质。基于增加权重一阶局部区域方法预测降解时间序列。利用水电机组状态监测数据对所提方法进行了验证。结果表明,采用混沌预测方法对水电机组性能下降进行预测是可行的。所提出的方法具有很高的准确性。这是一种操作和维护水力发电机组的新方法。

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