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Method for Validation of long-term Temperature Measurements from Sensors

 Method for Validation of long-term Temperature Measurements from Sensors
Author(s): ,
Presented at IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017, published in , pp. 1499-1504
DOI: 10.2749/vancouver.2017.1499
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Structural Health Monitoring (SHM), which holds promise for quick and reliable assessment of structural condition, requires reliable long-term measurements. While commercially available sensors can...
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Bibliographic Details

Author(s): (Princeton University, Princeton, NJ, USA)
(Princeton University, Princeton, NJ, USA)
Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017
Published in:
Page(s): 1499-1504 Total no. of pages: 6
Page(s): 1499-1504
Total no. of pages: 6
Year: 2017
DOI: 10.2749/vancouver.2017.1499
Abstract:

Structural Health Monitoring (SHM), which holds promise for quick and reliable assessment of structural condition, requires reliable long-term measurements. While commercially available sensors can provide accurate measurements, none have been tested on longer timescales to ensure stability. This study deals with the creation of a method for the validation of temperature measurements without the use of a redundant monitoring system. Reliability of temperature measurements is particularly important because they are often used for the compensation of other measurements, such as strain. The method is based on comparison of measurements to easily obtainable public data, such as data from meteorological agencies, and is presented through application to measurements from sensors installed on Streicker Bridge in Princeton, NJ. It was successfully used to confirm stability of multiple sensors and detect malfunction of other sensors.

Keywords:
structural health monitoring temperature measurements long-term monitoring temperature validation FBG sensors measurement drift