TY - JOUR
T1 - Structural Health Monitoring by Means of Strain Field Pattern Recognition on the basis of PCA and Automatic Clustering Techniques Based on SOM
AU - Sierra-Pérez, Julián
AU - Torres-Arredondo, Miguel A.
AU - Cabanes, Guénaël
AU - Güeme, Alfredo
AU - Mujica, Luis E.
N1 - Publisher Copyright:
© 2015
PY - 2015
Y1 - 2015
N2 - A new methodology to perform Structural Health Monitoring (SHM) in complex structures which is based on Data Driven Models (DDM) by means of strain measurements from Fiber Optic Sensors (FOS), in particular Fiber Bragg Gratings (FBGs), was developed by using Principal Component Analysis (PCA) and automatic clustering techniques based on Self-Organizing Maps (SOM) and density methods. The methodology includes techniques to uncoupling the changes in the strain field caused by the damage occurrence and the change in the operational conditions. Those techniques can be classified as Optimal Baseline Selection (OBS) techniques. Several experiments where performed to develop the methodology and demonstrate the whole concept. Some representative results are presented and discussed.
AB - A new methodology to perform Structural Health Monitoring (SHM) in complex structures which is based on Data Driven Models (DDM) by means of strain measurements from Fiber Optic Sensors (FOS), in particular Fiber Bragg Gratings (FBGs), was developed by using Principal Component Analysis (PCA) and automatic clustering techniques based on Self-Organizing Maps (SOM) and density methods. The methodology includes techniques to uncoupling the changes in the strain field caused by the damage occurrence and the change in the operational conditions. Those techniques can be classified as Optimal Baseline Selection (OBS) techniques. Several experiments where performed to develop the methodology and demonstrate the whole concept. Some representative results are presented and discussed.
KW - Classification
KW - Clustering
KW - Dimensional Reduction
KW - Strain Field, Patterns
KW - Structural Health Monitoring
UR - http://www.scopus.com/inward/record.url?scp=84988504894&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2015.12.259
DO - 10.1016/j.ifacol.2015.12.259
M3 - Artículo en revista científica indexada
AN - SCOPUS:84988504894
SN - 1474-6670
VL - 48
SP - 987
EP - 992
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 28
ER -