Open Access

ARTICLE

Application of Wireless Sensor Technology in Processing Random Signals for Urban Bridge Inspections

Trinh Thi Nhu Quynh¹, Hoa-Cuc. Nguyen², Bich-Ngoc. Mach², Thanh Q. Nguyen^3,4,*

1 Department of State Management, Thu Dau Mot University, No. 06 Tran Van On, Phu Hoa Ward, Thu Dau Mot City, 82000, Binh Duong Province, Vietnam
2 Faculty of Engineering and Technology, Thu Dau Mot University, No. 06 Tran Van On, Phu Hoa Ward, Thu Dau Mot City, 82000, Binh Duong Province, Vietnam
3 Institute of Interdisciplinary Sciences, Nguyen Tat Thanh University, No. 300A Nguyen Tat Thanh Street, Ward 13, District 4, Ho Chi Minh City, 700000, Vietnam
4 NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, 700000, Vietnam

* Corresponding Author: Thanh Q. Nguyen. Email:

(This article belongs to the Special Issue: Advances in Intelligent Operation and Maintenance Applications for Bridge Structures)

Structural Durability & Health Monitoring 2026, 20(2), 6 https://doi.org/10.32604/sdhm.2025.070202

Received 10 July 2025; Accepted 10 November 2025; Issue published 31 March 2026

Abstract

This study introduces a method for processing various types of random real-world signals from bridges in both experimental models and real-world scenarios using a wireless sensor system. By analyzing and processing signals collected during actual traffic on bridges, the study identifies and provides parameters that meet current quality inspection requirements to ensure the safety of bridge users. The parameters investigated in this study include deformation, natural frequency, amplitude, impact factor, and damping coefficient. Research has determined and highlighted key parameters to assess the quality of bridge spans to meet quality inspection standards. Using actual traffic vibration signals provides accurate and useful information that supports the government in conducting regular inspections. Furthermore, this study reduces inspection costs for regulatory agencies by significantly reducing costs compared to traditional methods, offering economic benefits. In general, this research not only introduces a new approach to vibration signal processing, but also brings practical benefits to bridge infrastructure management and inspection.

---

Keywords

---