Conference Publication Details
Mandatory Fields
Hanley, C;Kelliher, D;Pakrashi, V
11TH INTERNATIONAL CONFERENCE ON DAMAGE ASSESSMENT OF STRUCTURES (DAMAS 2015)
Principal Component Analysis for Condition Monitoring of a Network of Bridge Structures
2015
January
Validated
1
WOS: 2 ()
Optional Fields
The use of visual inspections as the primary data gathering tool for modern bridge management systems is widespread, and thus leads to the collection and storage of large amounts of data points. Consequently, there exists an opportunity to use multivariate techniques to analyse large scale data sets as a descriptive and predictive tool. One such technique for analysing large data sets is principal component analysis (PCA), which can reduce the dimensionality of a data set into its most important components, while retaining as much variation as possible. An example is applied to a network of bridges in order to demonstrate the utility of the technique as applied to bridge management systems.
10.1088/1742-6596/628/1/012060
Grant Details