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Compressive sensing-based lost data recovery of fast-moving wireless sensing for structural health monitoring

  • School of Civil Engineering, Harbin Institute of Technology
  • Dalian University of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Wireless sensor technology-based structural health monitoring (SHM) has been widely investigated recently. This paper proposes a fast-moving wireless sensing technique for the SHM of bridges along a highway or in a city in which the wireless sensor nodes are installed on the bridges to automatically acquire data, and a fast-moving vehicle with an onboard wireless base station periodically collects the data without interrupting traffic. For the fast-moving wireless sensing technique, the reliable wireless data transmission between the sensor nodes and the fast-moving base station is one of the key issues. In fast-moving states, the data packet loss rates during wireless data transmission between the moving base station and the sensor nodes will increase remarkably. In this paper, the data packets loss in the fast-moving states is first investigated through a series of experiments. To solve the data packets loss problem, the compressive sensing (CS)-based lost data recovery approach is proposed. A field test on a cable-stayed bridge is performed to further illustrate the data packet loss in the fast-moving wireless sensing technique and the ability of the CS-based approach for lost data recovery.

Original languageEnglish
Pages (from-to)433-448
Number of pages16
JournalStructural Control and Health Monitoring
Volume22
Issue number3
DOIs
StatePublished - 1 Mar 2015
Externally publishedYes

Keywords

  • Doppler effect
  • compressive sensing
  • data loss recovery
  • fast-moving wireless data acquisition
  • structural health monitoring

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