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Appl. Sci. 2017, 7(3), 243; doi:10.3390/app7030243

Reconstruction to Sensor Measurements Based on a Correlation Model of Monitoring Data

1,* , 1,2
,
1
and
1
1
Department of Civil and Environmental Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
2
College of Civil Engineering, Fujian University of Technology, Fuzhou 350118, China
*
Author to whom correspondence should be addressed.
Academic Editors: Gangbing Song, Chuji Wang and Bo Wang
Received: 19 January 2017 / Revised: 25 February 2017 / Accepted: 28 February 2017 / Published: 3 March 2017
(This article belongs to the Special Issue Structural Health Monitoring (SHM) of Civil Structures)
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Abstract

A sensor failure will lead to sensor measurement distortion, and may reduce the reliability of the whole structure analysis. This paper studies the method of monitoring information reconstruction based on the correlation degree. For the faulty sensor, the correlation degree of the normal response of this sensor and the measurements of the other sensors is calculated, which is also called the correlation degree of reconstructed variables and response variables. By comparing the correlation degrees, the response variables, which are needed to establish the correlation model, are determined. The correlation model between the reconstructed variables and the response variables is established by the partial least square method. The value of the correlation degrees between the reconstructed variables and the response variables, the amount of the monitoring data which is used to determine the coefficients of the correlation model, and the number of the response variables are used to discuss the influence factors of the reconstruction error. The stress measurements of structural health monitoring system of Shenzhen Bay Stadium is taken as an example, and the effectiveness of the method is verified and the practicability of the method is illustrated. View Full-Text
Keywords: structural health monitoring; responses reconstruction; correlation model; stress measurements; Shenzhen Bay Stadium structural health monitoring; responses reconstruction; correlation model; stress measurements; Shenzhen Bay Stadium
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Lu, W.; Teng, J.; Li, C.; Cui, Y. Reconstruction to Sensor Measurements Based on a Correlation Model of Monitoring Data. Appl. Sci. 2017, 7, 243.

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