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Volumn , Issue , 2011, Pages 37-48

Fault tolerant WSN-based structural health monitoring

Author keywords

clustering; fault tolerance; structural health monitoring; wireless sensor networks

Indexed keywords

CLUSTERING; DETECTION MODELS; DOMAIN KNOWLEDGE; EVENT DETECTION; FAULT-TOLERANT; FAULTY SENSOR; OTHER APPLICATIONS; SENSOR FAULT; STRUCTURAL DAMAGES; STRUCTURAL HEALTH; WIRELESS SENSOR;

EID: 80051942023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSN.2011.5958205     Document Type: Conference Paper
Times cited : (11)

References (22)
  • 1
    • 0036986465 scopus 로고    scopus 로고
    • Wireless sensor networks for habitat monitoring
    • September
    • Mainwaring, A., et al. Wireless sensor networks for habitat monitoring. In Proceedings of ACM WSNA'02,September 2002..
    • (2002) Proceedings of ACM WSNA'02
    • Mainwaring, A.1
  • 2
    • 34247387468 scopus 로고    scopus 로고
    • Body sensor network-a wireless sensor platform for pervasive healthcare monitoring
    • May
    • Lo, B., et al. Body sensor network-a wireless sensor platform for pervasive healthcare monitoring. The 3rd ICPC, May 2005.
    • (2005) The 3rd ICPC
    • Lo, B.1
  • 3
    • 1842478834 scopus 로고    scopus 로고
    • Fault tolerance in collaborative sensor networks for target detection
    • Clouqueur, T., K. Saluja, and P. Ramanathan, Fault tolerance in collaborative sensor networks for target detection. IEEE transactions on computers, 2004. 53(3): p. 320-333.
    • (2004) IEEE Transactions on Computers , vol.53 , Issue.3 , pp. 320-333
    • Clouqueur, T.1    Saluja, K.2    Ramanathan, P.3
  • 4
    • 0000301097 scopus 로고
    • A greedy heuristic for the set-covering problem
    • Chvatal, V., A greedy heuristic for the set-covering problem. Mathematics of operations research, 1979. 4(3): p. 233-235.
    • (1979) Mathematics of Operations Research , vol.4 , Issue.3 , pp. 233-235
    • Chvatal, V.1
  • 5
    • 1842478856 scopus 로고    scopus 로고
    • Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks
    • Krishnamachari, B. and S. Iyengar, Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks. IEEE transactions on computers, 2004: p. 241-250.
    • (2004) IEEE Transactions on Computers , pp. 241-250
    • Krishnamachari, B.1    Iyengar, S.2
  • 7
    • 77955672009 scopus 로고    scopus 로고
    • Smart bridges smart tunnels: Transforming wireless sensor networks from research prototypes into robust engineering infrastructure
    • Stajano, F., et al., Smart bridges, smart tunnels: Transforming wireless sensor networks from research prototypes into robust engineering infrastructure. Ad Hoc Networks, 2010.
    • (2010) Ad Hoc Networks
    • Stajano, F.1
  • 8
    • 0013092453 scopus 로고    scopus 로고
    • Value-fusion versus decision-fusion for fault-tolerance in collaborative target detection in sensor networks
    • Aug.
    • Clouqueur, T., et al. Value-fusion versus decision-fusion for fault-tolerance in collaborative target detection in sensor networks. In Proc. of 4th Inter. Conference on Information Fusion, Aug. 2001.
    • (2001) Proc. of 4th Inter. Conference on Information Fusion
    • Clouqueur, T.1
  • 10
    • 33846086464 scopus 로고    scopus 로고
    • Sensor validation and correction using auto-associative neural networks and principal component analysis
    • Orlando,FL, Feb.
    • Worden, K., Sensor validation and correction using auto-associative neural networks and principal component analysis. Proc. 21st IMAC Structural Dynamics Conf. (Orlando,FL, Feb. 2003)
    • (2003) Proc. 21st IMAC Structural Dynamics Conf.
    • Worden, K.1
  • 11
    • 13844298202 scopus 로고    scopus 로고
    • Sensor validation using principal component analysis
    • Kerschen, G., et al., Sensor validation using principal component analysis. Smart Materials and Structures, 2005. 14: p. 36.
    • (2005) Smart Materials and Structures , vol.14 , pp. 36
    • Kerschen, G.1
  • 12
    • 33947651163 scopus 로고    scopus 로고
    • On distributed fault-tolerant detection in wireless sensor networks
    • DOI 10.1109/TC.2006.13
    • Luo, X., M. Dong, and Y. Huang, On distributed fault-tolerant detection in wireless sensor networks. IEEE transactions on computers, 2006: p. 58-70. (Pubitemid 46488997)
    • (2006) IEEE Transactions on Computers , vol.55 , Issue.1 , pp. 58-70
    • Luo, X.1    Dong, M.2    Huang, Y.3
  • 13
    • 34547110218 scopus 로고    scopus 로고
    • An overview of intelligent fault detection in systems and structures
    • Worden, K. and J. Dulieu-Barton, An overview of intelligent fault detection in systems and structures. SHM, 2004. 3(1): p. 85.
    • (2004) SHM , vol.3 , Issue.1 , pp. 85
    • Worden, K.1    Dulieu-Barton, J.2
  • 14
    • 0032023438 scopus 로고    scopus 로고
    • A summary review of vibration-based damage identification methods
    • Doebling, S., C. Farrar, and M. Prime, A summary review of vibration-based damage identification methods. Shock and Vibration Digest, 1998. 30(2): p. 91-105. (Pubitemid 128625844)
    • (1998) Shock and Vibration Digest , vol.30 , Issue.2 , pp. 91-105
    • Doebling, S.W.1    Farrar, C.R.2    Prime, M.B.3
  • 15
    • 72649089840 scopus 로고    scopus 로고
    • Structural health monitoring using smart sensors
    • Jr
    • Nagayama, T. et al. Jr, Structural health monitoring using smart sensors. N.S.E.L. Report Series 001, 2008.
    • (2008) N.S.E.L. Report Series 001
    • Nagayama, T.1
  • 17
    • 84978422134 scopus 로고    scopus 로고
    • Fine-grained network time synchronization using reference broadcasts
    • Elson, J., L. Girod, and D. Estrin, Fine-grained network time synchronization using reference broadcasts. ACM SIGOPS Operating Systems Review, 2002. 36(SI): p. 147-163.
    • (2002) ACM SIGOPS Operating Systems Review , vol.36 , Issue.SI , pp. 147-163
    • Elson, J.1    Girod, L.2    Estrin, D.3
  • 19
    • 0026419519 scopus 로고
    • Damage detection from changes in curvature mode shapes
    • Pandey, A., M. Biswas, and M. Samman, Damage detection from changes in curvature mode shapes. Journal of sound and vibration, 1991. 145(2): p. 321-332.
    • (1991) Journal of Sound and Vibration , vol.145 , Issue.2 , pp. 321-332
    • Pandey, A.1    Biswas, M.2    Samman, M.3
  • 20
    • 0022131039 scopus 로고
    • EIGENSYSTEM REALIZATION ALGORITHM FOR MODAL PARAMETER IDENTIFICATION AND MODEL REDUCTION
    • Juang, J. and R. Pappa, Eigensystem realization algorithm for modal parameter identification and model reduction. Journal of Guidance, Control, and Dynamics, 1985. 8(5): p. 620-627. (Pubitemid 15568456)
    • (1985) Journal of Guidance, Control, and Dynamics , vol.8 , Issue.5 , pp. 620-627
    • Juang Jer-Nan1    Pappa Richard, S.2
  • 21
    • 80051922179 scopus 로고    scopus 로고
    • SAP, Computers and Structures Corp,[online]
    • SAP 2000 HELP GUIDE,[online]: www.csiberkeley.com, Computers and Structures Corp.
    • (2000) HELP GUIDE


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.