作者：
Concepcion, Ronnie S., II*;Ilagan, Lorena C.;Valenzuela, Ira C.
通讯作者：
Concepcion, Ronnie S., II
作者机构：
Univ Perpetual Help Syst DALTA, Dept Elect Engn, Las Pinas City, Metro Manila, Philippines.
Mapua Univ, Sch Grad Studies, Manila, Philippines.
De La Salle Univ, Elect & Commun Engn Dept, Manila, Philippines.
通讯机构：
Univ Perpetual Help Syst DALTA, Dept Elect Engn, Las Pinas City, Metro Manila, Philippines.
Mapua Univ, Sch Grad Studies, Manila, Philippines.
语种：
英文
期刊：
EAI/Springer Innovations in Communication and Computing
ISSN：
2522-8595
年：
2020
页码：
141-151
会议名称：
European-Alliance-for-Innovation (EAI) World Congress on Engineering and Technology - Innovation and Its Sustainability (WCETIS)
会议时间：
NOV 28-29, 2018
会议地点：
Manila, PHILIPPINES
会议赞助商：
European Alliance Innovat
基金类别：
Engineering Research and Development Technology program of the Department of Science and Technology; Faculty of Engineering of the University of Perpetual Help System DALTA, Las Pinas Campus
摘要：
Structural damage detection, based on global dynamic parameters, has received considerable attention from civil engineering and even by the local communities. The former sector is facing problems on providing structural integrity to its actual bridge construction due to climate change. Changes in the physical properties of structure such as boundary conditions, stiffness, and mass with respect to modal frequency are customarily studied; however, the unobservable factors such as wind force, humidity and, the most important, temperature must be given weight on analysis. In this study, the suitability of combined approach of supervised machine learning principal component an...
