Long-Term Structural State Trend Forecasting Based on an FFT–Informer Model

Machine learning has been widely applied in structural health monitoring. While most existing methods, which are limited to forecasting structural state evolution of large infrastructures. forecast the structural state in a step-by-step manner, extracting feature of structural state trends and the n...

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Bibliographic Details
Main Authors: Jihao Ma, Jingpei Dan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/4/2553

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