Kaiser and Cumulative Proportion Principal Component Analysis for Temperature Compensation of Vibration in Reinforced Concrete Bridge

Author:

Concepcion Ronnie1,Cruz Febus Reidj G.2,Carpio Joy3,Bandala Argel4,Relano R-Jay1,de Leon Joseph Aristotle1,Genevie Janairo Adrian4,Guillermo Marielet4,Galupino Joenel5,Genoguin Marvin Jade6,James Loresco Pocholo7

Affiliation:

1. De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines

2. Mapua University,School of Electrical, Electronics and Computer Engineering,Manila,Philippines

3. University of California,Systems Engineering Department,Berkeley,California,USA

4. De La Salle University,Department of Electronics and Computer Engineering,Manila,Philippines

5. De La Salle University,Department of Civil Engineering,Manila,Philippines

6. Eastern Visayas State University,Department of Civil Engineering,Tacloban City,Philippines

7. FEU Institute of Technology,Electrical and Electronics Engineering Department,Manila,Philippines

Funder

De La Salle University

Publisher

IEEE

Reference21 articles.

1. Triaxial MEMS digital accelerometer and temperature sensor calibration techniques for structural health monitoring of reinforced concrete bridge laboratory test platform

2. Optimization of Nonlinear Temperature Gradient on Eigenfrequency Using Genetic Algorithm for Reinforced Concrete Bridge Structural Health;concepcion ii;World Congress on Engineering and Technology Innovation and its Sustainability 2018 WCETIS 2018 EAI/Springer Innovations in Communication and Computing,2018

3. Structural Health Fuzzy Classification of Laguna Bridge Based on Hybrid Inspections Results;alejandrino;Journal of Computational Innovations and Engineering Applications,2020

4. Application of Hybrid Soft Computing for Classification of Reinforced Concrete Bridge Structural Health Based on Thermal-Vibration Intelligent System Parameters

5. A Hybrid Data Acquisition Model using Artificial Intelligence and IoT Messaging Protocol for Precision Farming

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