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RISAnomaly Identification of Structural Health Monitoring Data Using Dynamic Independent Component Analysis
Publisher: ASCE
Abstract: Independent component analysis (ICA) has the potential to identify anomalies in structural health monitoring (SHM) data due to its non-Gaussian data-processing ability. In order to additionally take into account the dynamic ...
Bayesian Combination of Weighted Principal-Component Analysis for Diagnosing Sensor Faults in Structural Monitoring Systems
Publisher: American Society of Civil Engineers
Abstract: It is essential to diagnose, i.e., detect and isolate, potential sensor faults for structural health monitoring to guarantee reliable condition evaluations. This paper proposes an innovative method called weighted ...
Sensor Fault Diagnosis for Structural Health Monitoring Based on Statistical Hypothesis Test and Missing Variable Approach
Publisher: American Society of Civil Engineers
Abstract: Using structural monitoring data collected from a sensor network to assess the health condition of a monitored structure relies on the accurate operation of the sensors and therefore could be affected by various sensor ...
Sensor Fault Diagnosis for Structural Health Monitoring Based on Statistical Hypothesis Test and Missing Variable Approach
Publisher: American Society of Civil Engineers
Abstract: Using structural monitoring data collected from a sensor network to assess the health condition of a monitored structure relies on the accurate operation of the sensors and therefore could be affected by various sensor ...
Sparse Bayesian Identification of Temperature-Displacement Model for Performance Assessment and Early Warning of Bridge Bearings
Publisher: ASCE
Abstract: Bearings usually play numerous important functionalities such as deformation regulation, load transfer, and seismic isolation in bridges. A better mastery of their service performance is increasingly desired for bridge ...
Strain-Based Performance Warning Method for Bridge Main Girders under Variable Operating Conditions
Publisher: ASCE
Abstract: This paper proposes a strain-based performance warning method for bridge main girder monitoring using the long-term data obtained for varying load conditions, i.e., the variations in temperature, wind, and traffic ...