On vibration signal analysis in bridge health monitoring system by using independent component analysis

Jingqiu Huang, Harutoshi Ogai, Chen Shao, Juanqing Zheng, Izumi Maruyama, Shinji Nagata, Hiroshi Inujima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


The aim of this paper is to support the construction of an efficient Health Monitoring System for ensuring the safety, using-life of bridges, preventing from the collapse affairs, protecting peoples' living environment, and reducing unnecessary finance expenses. This paper presents an effective method for application on vibration signal analysis in Bridge Health Monitoring System. The vibration signals are collected through wireless sensor network. The vibration signals are very important in Bridge Health Monitoring System, because the variation of bridge vibration frequency indicates the changing of bridge structure state. Independent Component Analysis (ICA) theory, Band Pass Filter (BPF) Technique and spectral analysis are applied in this paper to analyze the monitoring data of bridge vibration signals in the bridge health monitoring system, and through denoising to enable classification and feature extraction from the vibration signals. Meanwhile, comparing with conventional methods, the proposed method can obtain better results to analyze the vibration signals of bridge structure health monitoring.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Number of pages4
Publication statusPublished - 2010
EventSICE Annual Conference 2010, SICE 2010 - Taipei
Duration: 2010 Aug 182010 Aug 21


OtherSICE Annual Conference 2010, SICE 2010



  • Bridge health monitoring
  • Denoising
  • Signal processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Huang, J., Ogai, H., Shao, C., Zheng, J., Maruyama, I., Nagata, S., & Inujima, H. (2010). On vibration signal analysis in bridge health monitoring system by using independent component analysis. In Proceedings of the SICE Annual Conference (pp. 2122-2125). [5604015]