TY - GEN
T1 - A neural network and post-processing for estimating the values of error data
AU - Lee, Jihoon
AU - Kim, Yousok
AU - Choi, Se Woon
AU - Park, Hyo Seon
PY - 2013
Y1 - 2013
N2 - A sensor network is a key factor for successful structural health monitoring (SHM). Although stable sensor network system is deployed in the structure for measurement, it is often inevitable to face measurement faults. In order to secure the continuous evaluation of targeted structure in cases where the measurement faults occur, appropriate techniques to estimate omitted or error data are necessary. In this research, back-propagation neural network is adopted as a basic estimation method. Then, a concept of post-processing is proposed to improve an accuracy of estimation obtained from the neural network. The results of simulation to verify performance of estimation are also shown.
AB - A sensor network is a key factor for successful structural health monitoring (SHM). Although stable sensor network system is deployed in the structure for measurement, it is often inevitable to face measurement faults. In order to secure the continuous evaluation of targeted structure in cases where the measurement faults occur, appropriate techniques to estimate omitted or error data are necessary. In this research, back-propagation neural network is adopted as a basic estimation method. Then, a concept of post-processing is proposed to improve an accuracy of estimation obtained from the neural network. The results of simulation to verify performance of estimation are also shown.
KW - Estimating error data
KW - Measurement faults
KW - Post-processing of ANN
UR - http://www.scopus.com/inward/record.url?scp=84878205268&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878205268&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84878205268
SN - 9789898565457
T3 - SENSORNETS 2013 - Proceedings of the 2nd International Conference on Sensor Networks
SP - 205
EP - 208
BT - SENSORNETS 2013 - Proceedings of the 2nd International Conference on Sensor Networks
T2 - 2nd International Conference on Sensor Networks, SENSORNETS 2013
Y2 - 19 February 2013 through 21 February 2013
ER -