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TECHNICAL BRIEFS

A Hybrid Analysis Method for Vibration Signals Based on Neural Networks and Pattern Recognition Techniques

[+] Author and Article Information
Mahmod M. Samman

Stress Engineering Services, Inc., 13800 Westfair East Drive, Houston, TX 77041-1101 e-mail: mms@stress.com

J. Vib. Acoust 123(1), 122-124 (Jul 01, 2000) (3 pages) doi:10.1115/1.1320444 History: Received June 01, 1999; Revised July 01, 2000
Copyright © 2001 by ASME
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References

Wu,  X., Ghaboussi,  J., and Garrett,  J. H., 1992, “Use of Neural Networks in Detection of Structural Damage,” Comput. Struct., 42, No. 2, pp. 649–659.
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Williams,  T. P., and Gucunski,  N., 1995, “Neural Networks for Backcalculation of Moduli from SASW Test,” Journal of Computing in Civil Engineering, ASCE, 9, No. 1, pp. 1–8.
Almeida,  A., and Hill,  E. V. K., 1995, “Neural Network Detection of Fatigue Crack Growth in Riveted Joints Using Acoustic Emission,” Materials Evaluation, American Society of Nondestructive Testing,53, pp. 76–82.
Barai,  S. V., and Pandey,  P. C., 1995, “Vibration Signature Analysis Using Artificial Neural Networks,” J. Comput. Civil Eng., ASCE, 9, pp. 259–265.
Samman,  M. M., and Biswas,  M., 1994, “Dynamic Testing for Nondestructive Evaluation of Bridges. I: Theory,” Journal of Structural Engineering, American Society of Civil Engineers, 120, No. 1, pp. 269–289.
Samman,  M. M., and Biswas,  M., 1994, “Dynamic Testing for Nondestructive Evaluation of Bridges. II: Results,” Journal of Structural Engineering, American Society of Civil Engineers, 120, No. 1, pp. 290–306.
Biswas,  M., Samman,  M. M., Pandey,  A. K., and Bluni,  S. A., 1994, “Modified Chain Code Computer Vision Techniques for Interrogation of Vibration Signatures for Structural Fault Detection,” Journal of Sound and Vibration, 175, No. 1, pp. 89–104.
Samman, M. M., and Biswas, M., 1994, “Integrity Testing of Drilled Shafts—A Computer Vision Approach,” Proceedings of the International Conference on Design and Construction of Deep Foundation, pp. 803–816, U. S. Federal Highway Administration, Orlando, FL.
BrainMaker Professional, 1993, Neural Network Simulation Software User’s Guide and Reference Manual, California Scientific Software, Nevada City, CA.

Figures

Grahic Jump Location
Typical frequency response functions from the models
Grahic Jump Location
Accuracy of NET-1 versus the extent of defect

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