Structural damage identification using Parzen-window approach and neural networks

Structural Control and Health Monitoring

Volumn 14, Issue 4, 2007, Pages 576-590

  Qian, Yuyin ^a   Mita, Akira ^a  

^a KEIO UNIVERSITY   (Japan)

Author keywords

BP networks; Damage identification; Parzen window approach; Pattern classification; Structural health monitoring; Vibration experiment

Indexed keywords

DATA ACQUISITION; MODAL ANALYSIS; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; PATTERN RECOGNITION; STRUCTURAL HEALTH MONITORING;

DAMAGE DEGREE; PARZEN-WINDOW APPROACH; VIBRATION EXPERIMENT;

DAMAGE DETECTION;

EID: 34250327992     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.173     Document Type: Article

References (11)

1. Cawley P, Adams RD. The location of defects in structures from measurements of natural frequencies. Journal of Strain Analysis 1979; 14(2):49-57.
2. Masri SF, Chassiakos AG, Caughey TK. Identification of nonlinear dynamic system using neural networks. Journal of Applied Mechanics (ASME) 1993; 60:123-133.
3. Faravelli L, Pisano AA. Damage assessment toward performance control. Structural damage assessment using advanced signal processing procedures. Proceedings of DAMAS '97, University of Sheffield, U.K., 1997; 185-198.
4. Vanik MW, Beck JL, Au SK. Bayesian probabilistic approach to structural health monitoring. Journal of Engineering Mechanics 2000; 126(7):738-745.
5. Krawczuk M, Qin X, Barrish RA. Detection of delaminations in cantilevered beams using soft computing methods. European COST F3 Conference on System Identification and Structural Health Monitoring, Madrid, Spain, 2000; 243-252.
6. Mita A, Hagiwara H. Damage diagnosis of a building structure using support vector machine and modal frequency patterns. Smart Structures and Materials 2003: Smart Systems and NDE for Civil Infrastructures, vol. 5057, 2003; 118-125.
7. Lee IW, Kim DO, Jung GH. Natural frequency and mode shape sensitivities of damped systems. Part I; Distince natural frequencies. Journal of Sound and Vibration 1999; 223(3): 399-412.
8. Lee IW, Kim DO, Jung GH. Natural frequency and mode shape sensitivities of damped systems. Part II: Multiple natural frequencies. Journal of Sound and Vibration 1999; 223(3):413-424.
9. Kincaid DR, Cheney EW. Numerical Analysis: Mathematics of Scientific Computing. Brooks/Cole: Pacific Grove, CA, 2002.
10. Duda RO, Hart PE, Stork DG. Pattern Classification (2nd edn). Wiley: New York, U.S.A., 2001.
11. Bishop CM. Neural networks and their applications. Review of Scientific Instrumentation 1994; 65(6): 1803-1832.