1. Innovative Approach to Dam Deformation Analysis: Integration of VMD, Fractal Theory, and WOA-DELM.
- Author
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Bin Ou, Caiyi Zhang, Bo Xu, Shuyan Fu, Zhenyu Liu, and Kui Wang
- Subjects
- *
METAHEURISTIC algorithms , *DAMS , *DEFORMATIONS (Mechanics) , *MACHINE learning , *NOISE measurement , *DEEP learning - Abstract
This paper introduces a novel and comprehensive model for the analysis of dam deformation trends, integrating the variational mode decomposition (VMD) method, fractal theory, and the whale optimization algorithm (WOA) to re6ne the deep extreme learning machine (DELM) model. This integration allows for a meticulous denoising process through VMD, e7ectively isolating pertinent signal characteristics from noise and measurement interference. Following this, fractal theory is utilized to conduct an in-depth qualitative analysis of the denoised data, capturing intricate patterns within the deformation trends. The model further evolves with the application of WOA to optimize the DELM model, thereby facilitating an integrated approach that merges qualitative insights with quantitative analysis. The efficacy of this advanced model is demonstrated through a case study, highlighting its capability to deliver accurate and reliable predictions that are in harmony with practical engineering scenarios. This research not only o7ers a robust framework for analyzing dam deformation trends but also sets a new standard in the 6eld, providing a new solution for assessing structural integrity in hydrological engineering. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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