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

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 334))

Abstract

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.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Number 51309258) and the Special Foundation for Excellent Young Scientists of China Institute of Water Re-sources and Hydropower Research (Grant Number 1421).

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Correspondence to Xueli An .

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© 2015 Springer International Publishing Switzerland

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An, X. (2015). Chaotic Property Identification and Prediction of Performance Degradation Time Series for Hydropower Unit. In: Wang, W. (eds) Proceedings of the Second International Conference on Mechatronics and Automatic Control. Lecture Notes in Electrical Engineering, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-319-13707-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-13707-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13706-3

  • Online ISBN: 978-3-319-13707-0

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