Study on Noise Reduction of Hydrostatic Leveling Signals for Wind Turbine Foundations Based on CEEMDAN-SG Algorithm

The hydrostatic leveling monitoring data related to the settlement of the wind turbine foundation display substantial fluctuations along with considerable noise. In this study, based on the characteristic of the hydrostatic level measurement data of wind turbine foundation, a joint denoising method...

Full description

Saved in:
Bibliographic Details
Main Authors: Renjie Li, Xiangxing Lu, Zhixin Song, Huanwei Wei, Fang Tan, Zhonghua Liu
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/adce/3102629
Tags: Add Tag
No Tags, Be the first to tag this record!