Application of machine learning-based stochastic subspace identification for automated modal analysis of transmission towers

Detalles Bibliográficos
Autor Principal:	Samudio, Roydon Jude S. (Author)
Outros autores:	Hernandez, Jaime Y. Jr (adviser.), Quinay, Pher Errol B. (adviser.)
Formato:	Thesis
Idioma:	English
Publicado:	Quezon City College of Engineering, University of the Philippines Diliman 2024.
Subjects:	Radio and television towers. Machine learning. Environmental engineering. Automated modal analysis. Transmission tower. Structural health monitoring. Modal parameters. Environmental effect.
Acceso en liña:	Abstract