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Cluster Computing

, Volume 22, Supplement 4, pp 7821–7829 | Cite as

Sensor fault localization with accumulated residual contribution rate for bridge SHM

  • Lili Li
  • Liangliang ZhangEmail author
  • Gang Liu
  • Qing Li
  • Xing An
Article
  • 360 Downloads

Abstract

A sensor fault localization method based on the accumulated residual contribution rate is proposed based on the problems of damage false alarm and high false alarm rate caused by sensor fault in bridge structure health monitoring system. Based on the basic principle of principal component analysis, the data collected by the sensor under the vehicle load or the ground pulsation excitation are divided into the main element space and the residual space, and the fault is detected by SPE statistic. Furthermore, the residual contribution value is further deduced, and the accumulated residual contribution rate index is proposed. It improves residual contribution graph, also improves the accuracy of fault location, and sensor fault location is extended to simultaneously locate two fault sensors. The Three-span continuous beam of numerical example and actual calculation example result show that the accumulated residual contribution rate not only locates the single sensor fault, but also accurately locates simultaneous double sensors fault position, thus providing a new method for the maintenance of bridge health monitoring system.

Keywords

Structure health monitoring Sensor fault Principal component analysis Accumulated residual contribution rate SPE statistic 

Notes

Acknowledgements

This study is supported by the National Natural Science Foundation of China (NSFC) under the Grant Nos. 51578095, 51778093 and Graduate Scientific Research and Innovation Foundation of Chongqing under the Grant No. CYB17042.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  • Lili Li
    • 1
    • 2
  • Liangliang Zhang
    • 1
    • 2
    Email author
  • Gang Liu
    • 1
    • 2
  • Qing Li
    • 3
  • Xing An
    • 1
    • 2
  1. 1.School of Civil EngineeringChongqing UniversityChongqingChina
  2. 2.The Key Laboratory of New Technology for Construction of Cities in Mountain Area of the Ministry of EducationChongqing UniversityChongqingChina
  3. 3.College of Computer ScienceChongqing UniversityChongqingChina

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