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Structural damage detection and localization using NETSHM
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Source Information Processing In Sensor Networks archive
Proceedings of the 5th international conference on Information processing in sensor networks table of contents
Nashville, Tennessee, USA
SESSION: SPOTS'06 session 5--applications table of contents
Pages: 475 - 482  
Year of Publication: 2006
ISBN:1-59593-334-4
Authors
Krishna Chintalapudi  University of Southern California, Los Angeles, CA
Jeongyeup Paek  University of Southern California, Los Angeles, CA
Omprakash Gnawali  University of Southern California, Los Angeles, CA
Tat S. Fu  University of Southern California, Los Angeles, CA
Karthik Dantu  University of Southern California, Los Angeles, CA
John Caffrey  University of Southern California, Los Angeles, CA
Ramesh Govindan  University of Southern California, Los Angeles, CA
Erik Johnson  University of Southern California, Los Angeles, CA
Sami Masri  University of Southern California, Los Angeles, CA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
F.-K. Chang, Ed., Structural Health Monitoring: The Demands and Challenges emph, Proceedings of the Third International Workshop on Structural Health Monitoring, Stanford University, 12-14 September 2001. CRC Press.
 
2
J. P. Lynch, A. Sundararajan, K. H. Law, A. S. Kiremidjian, and E. Carryer, "Power-Efficient Data Management for a Wireless Structural Monitoring System," in Proceedings of the 4th International Workshop on Structural Health Monitoring, vol. 1, Stanford, CA, September 15-17 2003.
 
3
J. P. Lynch, A. Sundararanjan, K. H. Law, A. S. Kiremidjian, E. Carryer, H. Sohn, and C. H. Farrar, "Field Validation of a Wireless Structural Monitoring System on the Alamosa Canyon Bridge," in SPIE's 10th Annual International Symposium on Smart Structures and Materials, San Diego, CA, USA, March 2003.
4
 
5
K. Mechitov, W. Y. Kim, G. Agha, and T. Nagayama, "High-Frequency Distributed Sensing for Structure Monitoring," in Proc. First Intl. Workshop on Networked Sensing Systems (INSS 04), 2004.
 
6
S. W. Doebling, C. R. Farrar, M. B. Prime, and D. W. Shevitz, "Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in their Vibration Characteristics: A Literature Review," Los Alamos National Laboratory, Tech. Rep., May 1996.
 
7
H. Sohn and C. R. Farrar, "Damage Diagnosis Using Time Series Analysis of Vibration Signals," Smart Material and Structures, vol. 10, no. 3, pp. 446--451, 2001.
 
8
P. Cawley and R. D. Adams, "The locations of Defects in Structures from Measurements of Natural Frequencies," Smart Material and Structures, vol. 10, no. 3, pp. 446--451, 2001.
 
9
O. S. Salawu and C. Whilliams, "Damage Location using Vibration Mode shapes," in Proc. of the 12th International Modal Analysis Conference, 1994, pp. 933--939.
 
10
F. E. Udwadia, "Some Uniqueness Results Related to Soil and Building Structural Identification," SIAM Journal of Applied Mathematics, vol. 45, pp. 674--685, 1985.
 
11
E. G. Straser and A. S. Kiremidjian, "A Modular, Wireless Damage Monitoring System," John A. Blume Earthquake Engineering Center, Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA, Tech. Rep., 1998.
 
12
 
13
V. Kottapalli, A. Kiremidjian, J. P. Lynch, E. Carryer, T. Kenny, K. Law, and Y. Lei, "A Two-Tier Wireless Sensor Network Architecture for Structural Health Monitoring," in Proc. of SPIE's 10th Annual Symposium on Smart Structures and Materials, San Diego, CA, March 2003.
14
 
15
A. Woo, T. Tong, and D. Culler, "Taming the Underlying Issues for Reliable Multihop Routing in Wireless Sensor Networks," Los Angeles, CA, November 2003.
 
16
K. Chintalapudi, E. A. Johnson, and R. Govindan, "Structural Damage Detection using Wireless Sensor-Actuator Networks," in Proc. of 13th Mediterranean Conference on Control and Automation, Cyprus, June 2005, pp. 27--29.
 
17
J. M. Caicedo, S. J. Dyke, and E. A. Johnson, "Natural Excitation Technique and Eigen System Realization Algorithm for Phase I of the IASC-ASCE Benchmark Problem: Simulated Data," Journal of Engineering Mechanics, January 2004.
 
18
K. Chintalapudi, T. Fu, R. Govindan, and E. Johnson, "Structural Damage Detection and Localization using Wireless Sensor Networks with Low Power Consumption," in Proc. of the 5h International Conference on Structural Health Monitoring, Palo Alto,CA, 2005.

CITED BY  8

Collaborative Colleagues:
Krishna Chintalapudi: colleagues
Jeongyeup Paek: colleagues
Omprakash Gnawali: colleagues
Tat S. Fu: colleagues
Karthik Dantu: colleagues
John Caffrey: colleagues
Ramesh Govindan: colleagues
Erik Johnson: colleagues
Sami Masri: colleagues