SciRepID - Optimization Of Structural Health Monitoring For Steel Bridges Using Wireless Sensor Networks and Machine Learning Algorithms


Optimization Of Structural Health Monitoring For Steel Bridges Using Wireless Sensor Networks and Machine Learning Algorithms

International Journal of Mechanical, Electrical and Civil Engineering
Asosiasi Riset Ilmu Teknik Indonesia (ARITEKIN)

📄 Abstract

This study presents an advanced structural health monitoring (SHM) system for steel bridges based on wireless sensor networks (WSN) integrated with machine learning algorithms. The proposed system monitors and predicts structural integrity under various load conditions. The research focuses on developing a machine learning model capable of real-time anomaly detection, allowing for early warnings of potential failures. Experimental results from both simulation and field tests demonstrate the system’s effectiveness in prolonging bridge lifespan while reducing maintenance costs.

🔖 Keywords

#Structural Health Monitoring; Steel Bridges; Wireless Sensor Networks; Machine Learning; Anomaly Detection

ℹ️ Informasi Publikasi

Tanggal Publikasi
30 April 2024
Volume / Nomor / Tahun
Volume 1, Nomor 2, Tahun 2024

📝 HOW TO CITE

Yusuf Maulana; Eko Wibowo; Lina Marlina, "Optimization Of Structural Health Monitoring For Steel Bridges Using Wireless Sensor Networks and Machine Learning Algorithms," International Journal of Mechanical, Electrical and Civil Engineering, vol. 1, no. 2, Apr. 2024.

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