Structural Displacement Prediction of Power Transmission Tower using Finite-Element Modelling and Deep Learning
Author:
Affiliation:
1. Laiwu Power Supply Company, State Grid Corporation of China, China
2. School of Control Science and Engineering, Shandong University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638682.3638701
Reference11 articles.
1. Reliability assessment of existing transmission line towers considering mechanical model uncertainties;de Souza Rafael Rodrigues;Engineering Structures,2021
2. Data-driven sensor placement optimization for accurate and early prediction of stochastic complex systems
3. Uncertainty analysis of the strength capacity and failure path for a transmission tower under a wind load;Fu Xing;Journal of Wind Engineering and Industrial Aerodynamics,2018
4. Huidong Gao and Joseph L Rose. 2006. Sensor placement optimization in structural health monitoring using genetic and evolutionary algorithms. In Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, Vol. 6174. SPIE, 310–321.
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