TY - GEN
T1 - Structural damage detection and localization using NETSHM
AU - Chintalapudi, Krishna
AU - Fu, Tat S.
AU - Govindan, Ramesh
AU - Paek, Jeongyeup
AU - Dantu, Karthik
AU - Johnson, Erik
AU - Gnawali, Omprakash
AU - Caffrey, John
AU - Masri, Sami
PY - 2006
Y1 - 2006
N2 - Structural health monitoring (SHM) is an important application area for wireless sensor networks. SHM techniques attempt to autonomously detect and localize damage in large civil structures. Structural engineers often implement and test SHM algorithms in a higher level language such as C/Matlab. In this paper, we describe the design and evaluation of NETSHM, a sensor network system that allows structural engineers to program SHM applications in Matlab or C at a high level of abstraction. In particular, structural engineers do not have to understand the intricacies of wireless networking, or the details of sensor data acquisition. We have implemented a damage detection technique and a damage localization technique on a complete NETSHM prototype. Our experiments on small and medium-scale structures show that NETSHM is able to detect and localized damage perfectly with very few false-positives and no false negatives, and that it is robust even in realistic wireless environments.
AB - Structural health monitoring (SHM) is an important application area for wireless sensor networks. SHM techniques attempt to autonomously detect and localize damage in large civil structures. Structural engineers often implement and test SHM algorithms in a higher level language such as C/Matlab. In this paper, we describe the design and evaluation of NETSHM, a sensor network system that allows structural engineers to program SHM applications in Matlab or C at a high level of abstraction. In particular, structural engineers do not have to understand the intricacies of wireless networking, or the details of sensor data acquisition. We have implemented a damage detection technique and a damage localization technique on a complete NETSHM prototype. Our experiments on small and medium-scale structures show that NETSHM is able to detect and localized damage perfectly with very few false-positives and no false negatives, and that it is robust even in realistic wireless environments.
KW - Structural health monitoring
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/34247326581
U2 - 10.1145/1127777.1127850
DO - 10.1145/1127777.1127850
M3 - Conference contribution
AN - SCOPUS:34247326581
SN - 1595933344
SN - 9781595933348
T3 - Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, IPSN '06
SP - 475
EP - 482
BT - Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, IPSN '06
T2 - Fifth International Conference on Information Processing in Sensor Networks, IPSN '06
Y2 - 19 April 2006 through 21 April 2006
ER -