Acoustic Monitoring with Neural Network Diagnostics
American Journal of Neural Networks and Applications
Volume 1, Issue 2, October 2015, Pages: 39-42
Received: Jun. 14, 2015; Accepted: Jul. 31, 2015; Published: Aug. 1, 2015
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Authors
Sergiy V. Kovalevskyy, Donbas State Engineering Academy, Faculty of integrated technology and equipment, Kramatorsk, Ukraine
Olena S. Kovalevska, Donbas State Engineering Academy, Faculty of Economics and Management, Kramatorsk, Ukraine
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Abstract
This paper aims at finding effective directions of perfection of non-destructive control for details of rotation bodies. Investigational influence of acoustic vibrations is on the exposure of defects. The developed methodology of experimental researches and conducted experimental researches are for the exposure of defects by means of gain-frequency characteristic of non-destructive method of control. The developed mathematical models for determining gain-frequency characteristic in order to find deviations from the set indexes of details. Practical recommendations in relation to application of non-destructive method of control using the gain-frequency characteristic in machine-building processes
Keywords
Gain-Frequency Characteristic, Non-Destructive Control, Neural Network D
To cite this article
Sergiy V. Kovalevskyy, Olena S. Kovalevska, Acoustic Monitoring with Neural Network Diagnostics, American Journal of Neural Networks and Applications. Vol. 1, No. 2, 2015, pp. 39-42. doi: 10.11648/j.ajnna.20150102.12
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