Analysis of Error Control Techniques for the Urban Bridge Cluster Monitoring System

Yi Li; Zhong Guo; Bao Chun Chen

doi:10.4028/www.scientific.net/AMM.226-228.1634

Paper Titles

Studies on Mechanical Model of Geometrically Pre-Eccentric Optimization Based on a Small Radius Ramp Curved Bridge with Single Column in City
p.1618

Application Study of GIS and GPS in Bridge Structural Health Monitoring
p.1622

Mechanical Mechanism Analysis of Longitudinal Cracks Appeared in a Large Cable-Stayed Bridge Cable Tower
p.1626

Mitigation of Wind-Rain-Induced Cable Vibration in Cable-Stayed Bridges: Measurement Error
p.1630

Analysis of Error Control Techniques for the Urban Bridge Cluster Monitoring System
p.1634

Identification of Loads on Suspenders in Bridges Based on Measured Response Data in Time Domain
p.1640

A New System for Dynamic Deflection Measurement of Highway Bridge
p.1645

Comparison and Analysis of Permafrost Railway Subgrade Settlement Deformation Monitoring
p.1651

Settlement Control and Impact Analysis of the Subway Shield Under-Passing Beijing-Shanghai High Speed Railway Bridge
p.1655

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 226-228Analysis of Error Control Techniques for the Urban...

Analysis of Error Control Techniques for the Urban Bridge Cluster Monitoring System

Abstract:

The urban bridge cluster health monitoring system is a complicated system featuring lots of parameters and hundreds of different types of sensors. The problems of data reliability of the system are the realistic ones that must be resolved in the engineering application. In this paper, in the light of the ideas of error control prevailing in the data communications, the basic considerations, models and mechanism for error control of bridge structure health monitoring system are put forward form the angle of the system and it can be therefore expected that the problems of two kinds of data failure pattern in the system of the tie arch bridge will be thoroughly resolved, the reliability of the system will be increased, and the false and miss warning ratio of the system will be accordingly effectively decreased.

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Periodical:

Applied Mechanics and Materials (Volumes 226-228)

Pages:

1634-1639

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.226-228.1634

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Cite this paper

Online since:

November 2012

Authors:

Yi Li, Zhong Guo, Bao Chun Chen

Keywords:

Error Control, Identification, Sensory System, Structural Health Monitoring (SHM), Urban Bridge

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