Publication | Open Access
Reliability of long-term monitoring data
20
Citations
7
References
2013
Year
EngineeringMeasurementCarbon FiberWearable TechnologyDeterioration ModelingMeasurement NetworkStructural EngineeringReliability EngineeringContinuous MonitoringData ScienceSystems EngineeringReliability AnalysisData ManagementStatisticsService Life PredictionReliabilityData ReliabilityFiber Optic SensingStructural Health MonitoringLong-term Monitoring DataOptical SensorsSensorsCivil EngineeringSensor HealthMonitoringLife CycleConstruction EngineeringData ModelingSensor System
Abstract Increasing loads, aging, new construction materials like CFRP (carbon fiber reinforced polymers) and also cost pressure are influences for fitness of traffic infrastructures, especially bridges. Prolonged health monitoring can be a means to compete with these challenges. The lifetime of infrastructure can reach 100 years, while that of sensors is typically much shorter. Therefore, sensors need to be long-term qualified and might have to be replaced by new sensors or even another sensor system during the life cycle of a structure. A reliable system for data acquisition and data analysis will be essential: Do the measurement data really relate to the monitored infrastructure and are not an effect of the degradation of the sensing system? We discuss measurement uncertainty and reliability of data obtained by different sensor types, including resistance strain gages, fiber optical sensors and other sensors systems which are in service up to 17 years.
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