A Long-Time Series Forecast Method for Wind Turbine Blade Strain with Incremental Bi-LSTM Learning

A Long-Time Series Forecast Method for Wind Turbine Blade Strain with Incremental Bi-LSTM Learning

This article presents a novel incremental forecast method to address the challenges in long-time strain status prediction for a wind turbine blade (WTB) under wind loading. Taking strain as the key indicator of structural health, a mathematical model is established to characterize the long-time seri...

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Bibliographic Details
Main Authors: Bingkai Wang, Wenlei Sun, Hongwei Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
Bi-LSTM
incremental learning
long-time series forecast
strain
wind turbine blade
Online Access:https://www.mdpi.com/1424-8220/25/13/3898
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