Cross validation-based novelty detection of bridge group

Author

Shaoyi Zhang ; Yang Liu ; Changxi Yang

Author_Institution

Sch. of Transp. Sci. & Eng., Harbin Inst. of Technol., Harbin, China

fYear

2015

fDate

9-10 July 2015

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

bridges (structures); maintenance engineering; bridge group method; cross validation-based novelty detection; damage detection; environmental factors; Bridges; Covariance matrices; Environmental factors; Feature extraction; Mathematical model; Noise; Null space; Damage detection; cross validation; environmental factors; medium and minor bridges;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental, Energy and Structural Monitoring Systems (EESMS), 2015 IEEE Workshop on

Conference_Location

Trento

Print_ISBN

978-1-4799-8214-1

Type

conf

DOI

10.1109/EESMS.2015.7175842

Filename

7175842