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
| Published in | American Journal of Neural Networks and Applications (Volume 1, Issue 2) |
| DOI | 10.11648/j.ajnna.20150102.12 |
| Page(s) | 39-42 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Gain-Frequency Characteristic, Non-Destructive Control, Neural Network D
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APA Style
Sergiy V. Kovalevskyy, Olena S. Kovalevska. (2015). Acoustic Monitoring with Neural Network Diagnostics. American Journal of Neural Networks and Applications, 1(2), 39-42. https://doi.org/10.11648/j.ajnna.20150102.12
ACS Style
Sergiy V. Kovalevskyy; Olena S. Kovalevska. Acoustic Monitoring with Neural Network Diagnostics. Am. J. Neural Netw. Appl. 2015, 1(2), 39-42. doi: 10.11648/j.ajnna.20150102.12
AMA Style
Sergiy V. Kovalevskyy, Olena S. Kovalevska. Acoustic Monitoring with Neural Network Diagnostics. Am J Neural Netw Appl. 2015;1(2):39-42. doi: 10.11648/j.ajnna.20150102.12
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Download@article{10.11648/j.ajnna.20150102.12,
author = {Sergiy V. Kovalevskyy and Olena S. Kovalevska},
title = {Acoustic Monitoring with Neural Network Diagnostics},
journal = {American Journal of Neural Networks and Applications},
volume = {1},
number = {2},
pages = {39-42},
doi = {10.11648/j.ajnna.20150102.12},
url = {https://doi.org/10.11648/j.ajnna.20150102.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20150102.12},
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},
year = {2015}
}
TY - JOUR T1 - Acoustic Monitoring with Neural Network Diagnostics AU - Sergiy V. Kovalevskyy AU - Olena S. Kovalevska Y1 - 2015/08/01 PY - 2015 N1 - https://doi.org/10.11648/j.ajnna.20150102.12 DO - 10.11648/j.ajnna.20150102.12 T2 - American Journal of Neural Networks and Applications JF - American Journal of Neural Networks and Applications JO - American Journal of Neural Networks and Applications SP - 39 EP - 42 PB - Science Publishing Group SN - 2469-7419 UR - https://doi.org/10.11648/j.ajnna.20150102.12 AB - 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 VL - 1 IS - 2 ER -
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