Neural-network based structural health monitoring with wireless sensor networks

Proceedings - International Conference on Natural Computation

Volumn , Issue , 2013, Pages 163-167

  Xie, Xiaobo ^a   Guo, Junqi ^a   Zhang, Hongyang ^a   Jiang, Tao ^a   Bie, Rongfang ^a   Sun, Yunchuan ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Neural Network; Structural Health Monitoring; Wireless Sensor Network

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; LEARNING ALGORITHMS; SENSOR NODES; SENSORS; UBIQUITOUS COMPUTING; VIBRATIONS (MECHANICAL); WIRELESS SENSOR NETWORKS;

DISTRIBUTED SENSING; ENVIRONMENTAL NOISE; MECHANICAL STRUCTURES; MONITORING STRUCTURES; ROBUST PERFORMANCE; STRUCTURAL HEALTH; TRAINING DATA; VIBRATION FREQUENCY;

STRUCTURAL HEALTH MONITORING;

EID: 84901784981     PISSN: 21579555     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2013.6817963     Document Type: Conference Paper

References (19)

1. Li A Q, Ding Y L, Wang H, et al. Analysis and assessment of bridge health monitoring mass data-progress in research/development of Structural Health Monitoring . Sci China Tech Sci, 2012, 55: 2212-2224, doi: 10. 1007/s11431-012-4818-5.
2. X. W. Ye, Y. Q. Ni, K. Y. Wong, et al. Statistical analysis of stress spectra for fatigue life assessment of steel bridges with structural health monitoring data. Engineering Structures, 2012, 45:166-176 .
3. Junqi Guo, Hongyang Zhang, Yunchuan Sun, Rongfang Bie. Square-Root Unscented Kalman Filtering Based Localization and Tracking in the Internet of Things. 11th IEEE Int. Conference on Ubiquitous Computing and Communications, UCC-2012, p1824-1829, 2012.
4. Abdelfettah Belghith, Anis Koubaa, Elhadi Shakshuki. Challenges and trends in wireless ubiquitous computing systems, Pers Ubiquit Comput , 2011, 15:781-782.
5. Xum J. Y, Pottiem G. J, Kaiser, W. J. Enabling Large-Scale Ground-Truth Acquisition and System Evaluation in Wireless Health, IEEE Transactions on Biomedical Engineering, Jan 2013. Volumn 60, Issue 1, pp 174-178.
6. Kim Sukun, Pakzad Shamim, Culler David et al. Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks. Proceedings of the sixth International Symposium on Information Processing in Sensor Networks, 2007 p254-263.
7. Boukabache H., Matmat M., Escriba C et al. Sensors/Actuators network development for aeronautics structure health monitoring, IEEE Sensors, 2011, pp1157-1160.
8. S. Vanlanduit, E. Parloo, B. Cauberghe et al. A robust singular value decomposition for damage detection under changing operating conditions and structural uncertainties, Journal of Sound and Vibration, 2005,284:1033-1050.
9. Allen DW, Castillo S, Cundy AL. Damage detection in building joints by statistical analysis, Proceedings of the Society of Photo-optical Instrumentation Engineers, 2001, Vol 4359, pp955-961.
10. Kunihijo Fukushima. Neocognitron: A self-organizing Neural Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position. Biological Cybernetics,1980, 36:193-202.
11. Hyunsoo Yoon, Cheong-Sool Park, Jun Seok Kim, Jun-Geol Baek. Algorithm learning based neural network integrating feature selection and classification, Expert Systems with Applications 2013, 40:231-241.
12. Hosein Marzi, Modular Neural Network Architecture for Precise Condition Monitoring, IEEE Transactions on Instrumentation and Measurement, April 2003.
13. Malhi, A. Prognosis of Defect Propagation Based on Recurrent Neural Networks. IEEE Transactions on Instrumentation and Measurement, March 2011, Volumn 60, Issue30, pp703-711.
14. Fang Gong, Wenyao Xu, Jueh-Yu Lee et al. NeuroGlasses: A Neural Sensing Healthcare System for 3-D Vision Technology, IEEE Transactions on Information Technology in Biomedicine, March 2012, Volume 16, Issue 2, pp198-204.
15. Zhigang Tian, Ming J. Zuo. Health Condition Prediction of Gears Using a Recurrent Neural Network Approach, IEEE Transactions on Reliability, December 2010.
16. C. M. Bishop. Neural Networks for Pattern Recognition, Clarendon Press, Oxford, 1996.
17. J. Zupan, J. Gasteiger. Neural Networks in Chemistry and Drug Design, 2nd ed. , Wiley VCH Ed. ,Weinheim, 1999.
18. V. Kecman, Learning and Soft Computing, Support Vector machines, Neural Networks and Fuzzy Logic Models, The MIT Press, Cambridge, MA, 2001.
19. L. P. Wang and X. J. Fu, Data Mining with Computational Intelligence, Springer,Berlin,2005.