Prediction accuracy improvement of pressure pulsation signals of reversible pump‐turbine: A LSTM and VMD‐based optimization approach

Prediction accuracy improvement of pressure pulsation signals of reversible pump‐turbine: A LSTM and VMD‐based optimization approach

Abstract The reversible pump‐turbine plays an important role in hydropower stations, but pressure pulsation during their operation affects their performance and lifespan. Accurate prediction of pressure pulsation signals can provide an important basis for energy planning and stable operation of pump...

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Bibliographic Details
Main Authors: Mingkun Fang, Fangfang Zhang, Zhong Cao, Ran Tao, Wei Xiao, Di Zhu, Zhonghua Gui, Ruofu Xiao
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Energy Science & Engineering
Subjects:
machine learning
optimization algorithm
pump turbine
signal decomposition
variational mode decomposition
Online Access:https://doi.org/10.1002/ese3.1620

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