Cross validation-based novelty detection of bridge group
- Resource Type
- Conference
- Authors
- Zhang, Shaoyi; Liu, Yang; Yang, Changxi
- Source
- 2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Environmental, Energy and Structural Monitoring Systems (EESMS), 2015 IEEE Workshop on. :1-6 Jul, 2015
- Subject
- Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Signal Processing and Analysis
Transportation
Bridges
Noise
Feature extraction
Environmental factors
Mathematical model
Covariance matrices
Null space
Damage detection
medium and minor bridges
cross validation
environmental factors
- Language
Novelty detection based on cross validation was proposed to detect the damage of the cluster of medium and minor bridges under the effect of environmental factors. The effectiveness of this method was tested through the numerical example of one bridge group that was composed of five similar bridges. Meanwhile, advantages and disadvantages of this method were discussed by comparing the effectiveness between proposed method and traditional novelty detection method. The numerical results showed that the cross validation-based novelty detection of bridge group method effectively mitigated the influence of environmental factors on damage detection.