Research on Data Correlation in Structural Health Monitoring System

Abstract:

In structural health monitoring system, data analysis is one of the most important parts. It is mainly for processing and analysis of the collected data, among of which, the correlation analysis of the collected data can be used to verify the feasibility of the system. This paper applies the method of wavelet de-noising analysis to reduce signal noise and utilizes MATLAB and LabVIEW to calculate the cross-correlation coefficient in simulation statistics independently. To verify the feasibility of correlation analysis method and the data processing, simulation study is finished based on sampled data, which are the information of measuring points of strain and temperature from the Baishazhou Bridge. The cross-correlation coefficients between various signals can provide the reference to the whole health status of the civil engineering structure, and then enhance the accuracy of structural health assessment.

• Periodical: Advanced Materials Research (Volumes 671-674)
• Pages: 2044-2048
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.671-674.2044
• Online since: March 2013
• Authors: Qiang Li, Chun Xiao, Wei Li, Li Qiao Li, Hui Liu
• Keywords: Correlation Analysis, Structural Health Monitoring (SHM), Wavelet De-Noising Analysis

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