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Sensor fault localization with accumulated residual contribution rate for bridge SHM

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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.

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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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Authors and Affiliations

  1. School of Civil Engineering, Chongqing University, Chongqing, 400045, China

    Lili Li, Liangliang Zhang, Gang Liu & Xing An

  2. The Key Laboratory of New Technology for Construction of Cities in Mountain Area of the Ministry of Education, Chongqing University, Chongqing, 400030, China

    Lili Li, Liangliang Zhang, Gang Liu & Xing An

  3. College of Computer Science, Chongqing University, Chongqing, 400045, China

    Qing Li

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  1. Lili Li
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  2. Liangliang Zhang
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  3. Gang Liu
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  4. Qing Li
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  5. Xing An
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Correspondence to Liangliang Zhang.

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Li, L., Zhang, L., Liu, G. et al. Sensor fault localization with accumulated residual contribution rate for bridge SHM. Cluster Comput 22 (Suppl 4), 7821–7829 (2019). https://doi.org/10.1007/s10586-017-1456-5

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  • DOI: https://doi.org/10.1007/s10586-017-1456-5

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