TY - GEN
T1 - Method for validation of long-term temperature measurements from sensors
AU - Abdel-Jaber, Hiba
AU - Glisic, Branko
N1 - Publisher Copyright:
© 2018 Ingenta.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - FBG sensors
KW - Long-term monitoring
KW - Measurement drift
KW - Structural health monitoring
KW - Temperature measurements
KW - Temperature validation
UR - http://www.scopus.com/inward/record.url?scp=85050021402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050021402&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85050021402
T3 - IABSE Conference, Vancouver 2017: Engineering the Future - Report
SP - 1499
EP - 1504
BT - IABSE Conference, Vancouver 2017
PB - International Association for Bridge and Structural Engineering (IABSE)
T2 - 39th IABSE Symposium in Vancouver 2017: Engineering the Future
Y2 - 21 September 2017 through 23 September 2017
ER -