Damage detection on crates of beverages by artificial neural networks trained with finite-element data

Computer Methods in Applied Mechanics and Engineering

Volumn 193, Issue 6-8, 2004, Pages 561-574

  Zacharias, Jörg ^a   Hartmann, Christoph ^a   Delgado, Antonio ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Artificial neural network; Damage recognition; Experiment; Finite element simulation; Vibration analysis

Indexed keywords

COMPUTER SIMULATION; FINITE ELEMENT METHOD; NEURAL NETWORKS; SPECTRUM ANALYSIS; TOPOLOGY;

DAMAGE RECOGNITION; SHAPE ANALYSIS;

BEVERAGES;

ARTIFICIAL NEURAL NETWORK; DAMAGE; DETECTION METHOD;

EID: 0442328970     PISSN: 00457825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cma.2003.10.009     Document Type: Article

References (34)

1. Atalla M.J. Inman D.J. On model updating using neural networks Mech. Syst. Signal Process. 12 1 1998 135 161
2. Doebling S.W. Farrar C.R. Prime M.B. A summary review of vibration-based damage identification methods Shock Vibrat. Digest 30 2 1998 91 105
3. Elkordy M.F. Chang K.C. Lee G.C. Neural networks trained by analytically simulated damage states J. Comput. Civil Engrg. 7 2 1993 130 145
4. A. Entrekin, Accuracy of MSC/NASTRAN First- and second-order tetrahedral elements in solid modeling for stress analysis, in: MSC Aerospace Users' Conference, MSC-Library, USA, 1999, pp. 1-8
5. B. Foitzik, Abfüllanlagen für die Getränkeindustrie: Konzepte, Techniken, Trends, in: Die Bibliothek der Technik, vol. 200, Moderne Industrie, Germany, Landsberg Lech, 2000
6. Fugate M.L. Vibration-based damage detection using statistical process control Mech. Syst. Signal Process. 15 4 2001 707 721
7. Hagedorn P. Otterbein S. Technische Schwingungslehre--Lineare Schwingungen diskreter mechanischer Systeme 1987 Springer Berlin
8. Hermans L. Van der Auweraer H. Modal testing and analysis of structures under operational conditions: Industrial applications Mech. Syst. Signal Process. 13 2 1999 193 216
9. Jansen R. Krabs A. Automatic identification in packaging--radio frequency identification in multiway systems Pack. Technol. Sci. 12 5 1999 229 234
10. Klein F. Leergutsortierung in der Getränketechnik Getränketechnik 8 1992 46 52
11. Li S. Global flexibility simulation and element stiffness simulation in finite element analysis with neural networks Comput. Methods Appl. Mech. Engrg. 186 1 2000 101 108
12. Liu S.W. Huang J.H. Sung J.C. Lee C.C. Detection of cracks using neural networks and computational mechanics Comput. Methods Appl. Mech. Engrg. 191 25/26 2002 2831 2845
13. Marwala T. Hunt H.E.M. Fault identification using finite element models and neural networks Mech. Syst. Signal Process. 13 3 1999 475 490
14. K. Nakazawa, I. Iwasaki, I. Yamashita, Development of damage detection systems for container, in: Proceedings of the 1995 IEEE IECON, Part 2, 1995, pp. 1160-1163
15. Nowak A.S. Kim S. Stankiewicz P.R. Analysis and diagnostic testing of a bridge Comput. Struct. 77 1 2000 91 100
16. Rafiq M.Y. Bugmann G. Easterbrook D.J. Neural network design for engineering applications Comput. Struct. 79 2001 1541 1552
17. Rädler T. Cost factors related to integrating sorting systems Brauwelt Int. 14 3 1996 224 229
18. Reynier M. Sensors location for updating problems Mech. Syst. Signal Process. 13 2 1999 297 314
19. Rieg F. Hackenschmidt R. Finite Elemente Analyse für Ingenieure 2000 Hanser München
20. Salawu O.S. Detection of structural damage through changes in frequency: a review Engrg. Struct. 19 9 1997 718 723
21. Schaefer H. Kasten- und Flaschensortierung in Mineralwasserbetrieben--ein Problem ohne Ende? Der Mineralb. 45 6 1995 212 217
22. G. Sitton, MSC/NASTRAN Basic Dynamic Analysis User's Guide, MacNeal-Schwendler Corporation, USA, 1997
23. Stavroulakis G.E. Antes H. Neural crack identification in steady state elastodynamics Comput. Methods Appl. Mech. Engrg. 165 1/4 1998 129 146
24. Swingler K. Applying Neural Networks--A Practical Guide 1996 Academic Press Inc. San Diego, USA
25. Wang Z. Lin R.M. Lim M.K. Structural damage detection using measured FRF data Comput. Methods Appl. Mech. Engrg. 147 1997 187 197
26. Worden K. Tomilinson G.R. Lim W. Sauer G. Modeling and classification of non-linear systems using neural networks--II. A preliminary experiment Mech. Syst. Signal Process. 8 4 1994 395 419
27. Wu X. Ghaboussi J. Garrett J.H. Use of neural networks in detection of structural damage Comput. Struct. 42 4 1992 649 659
28. Yagawa G. Okuda H. Neural networks in computational mechanics Arch. Computat. Methods Engrg. 4 3 1996 435 512
29. Zacharias J. Hartmann C. Delgado A. Application of neuro-numerics for damage recognition on crates of beverages Neural Network World 12 6 2002 621 633
30. Zacharias J. Hartmann C. Delgado A. Damage recognition on crates of beverages by artificial neural networks trained with data obtained from numerical simulation Sloot P.M.A., et-al. Computational Science--ICCS 2002, Part I Lecture Notes in Computational Science 2329 2002 980 989 Springer Heidelberg
31. Zacharias J. Hartmann C. Delgado A. Recognition of damages on crates of beverages by an artificial neural network Proceedings of EUNITE 2001 Tenerife, Spain (EUNITE 2001 Final Programme & Proceedings (Abstracts + CD) 2001 69 76 Verlag Mainz Aachen
32. Zang C. Imregun M. Structural damage detection using artificial neural networks and measured FRF data reduced via principal component projection J. Sound Vibrat. 242 5 2001 813 827
33. Zell A. Simulation Neuronaler Netze 1994 Addison-Wesley Bonn
34. Zgonc K. Achenbach J.D. A neural network for crack sizing trained by finite element calculations Non-Destruct. Test. Evaluat. Int. 29 3 1996 147 155