From fully automated observations to a neural network model inference: The Bridge "Fallersleben Gate" in Brunswick, Germany 1999–2006
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M. Heinert
Since the beginning of June 1999 the Institute of Geodesy and Photogrammetry is monitoring the displacements of a small, but unstable bridge within the city of Brunswick. As basic sensor for automatic and continuous monitoring an automated total station is installed below the bridge, which takes measurements to 180 reflecting targets on the structure three times per day. This paper begins with the outline of the basic concepts for the instrument setup, the longterm control of its stability and possible influencing factors. Then the processing of the time series of raw data is discussed, emphasing the filtering concepts to account for the detection of outliers, due to target corrosion or distortion. Finally the bridge is considered as a closed system and all the available information is used to generate a non-parametric model to describe its behaviour with tools from system analysis.
Copyright 2007, Walter de Gruyter
Artikel in diesem Heft
- On the methodology of Engineering Geodesy
- On the detection of change-points in structural deformation analysis
- From fully automated observations to a neural network model inference: The Bridge "Fallersleben Gate" in Brunswick, Germany 1999–2006
- Analysis of deformations of large earth dams
- A fuzzy-augmented Kalman filter for IMU/GPS integration
- Performance and accuracy test of a WiFi indoor positioning system
Artikel in diesem Heft
- On the methodology of Engineering Geodesy
- On the detection of change-points in structural deformation analysis
- From fully automated observations to a neural network model inference: The Bridge "Fallersleben Gate" in Brunswick, Germany 1999–2006
- Analysis of deformations of large earth dams
- A fuzzy-augmented Kalman filter for IMU/GPS integration
- Performance and accuracy test of a WiFi indoor positioning system
