Affiliation:
1. School of Engineering and Computer Science, University of Denver, 2050 E. Iliff Ave., Boettcher Center East, Rm #228, Denver, CO 80208
Abstract
This paper presents analysis, design, development, and experimental verification of a non-destructive monitoring system for diagnosis of mechanical integrity of electric conductors based on the concept of Electro-Magnetic-Acoustic Transducers (EMAT). Electric conductors, in general, are exposed to harsh environments. Such conductors include electric transmission lines, anchor rods, and ground mat risers. For automatic failure detection and assessment of mechanical integrity of these conductors, in addition to an effective transducer, feature extraction and pattern recognition techniques have to be employed. Details of the sensor design, neural-based signature analysis, feature extraction, and experimental results of fault detection techniques are presented.
Subject
Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering
Reference22 articles.
1. Blitz, J., 1991, Electrical and magnetic methods of nondestructive testing, Adam Hilger.
2. Migliori, A., John, L. and Sarrao, 1997, Resonant Ultrasound Spectroscopy, John Wiley & Sons, Inc.
3. Maldague, P. V., 1997, Infrared Methodology and Technology, Gordon and Breach Science Publishers.
4. Baldi, P., and Hornik, K., 1989, “Neural networks and principal component analysis: Learning from examples without local minima,” IEEE Trans. Neural Netw., 2, pp. 53–58.
5. Foldiak, P., 1989, “Adaptive network for optimal linear feature extraction,” Proceedings of IEEE International Joint Conference on Neural Networks, Washington, D.C., 1, pp. 401–405.
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