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

Bibliographische Detailangaben
1. Verfasser:	Samudio, Roydon Jude S. (VerfasserIn)
Weitere Verfasser:	Hernandez, Jaime Y. Jr (adviser.), Quinay, Pher Errol B. (adviser.)
Format:	Abschlussarbeit
Sprache:	Englisch
Veröffentlicht:	Quezon City College of Engineering, University of the Philippines Diliman 2024.
Schlagworte:	Radio and television towers. Machine learning. Environmental engineering. Automated modal analysis. Transmission tower. Structural health monitoring. Modal parameters. Environmental effect.
Online-Zugang:	Abstract