Classification of non-normative errors in measuring instruments based on data mining

DOI

10.2991/avent-18.2018.83How to use a DOI?

Keywords

induction soldering; waveguide path; measurment error classification; flux; neural networks; joints

Abstract

The article deals with the problem of classification of non-normative errors in measuring instruments. The use of such high-tech methods for creating integral joints, like induction soldering, electron beam welding, diffusion welding, is complicated by the presence of errors in measuring instruments associated with high temperatures, the use of contactless temperature sensors, different thickness of the connected parts, different emissivity coefficients and human factor. Errors that arise when managing the process of creating permanent joints have a significant negative impact on the quality of products in various areas of engineering. In order to adequately control the technological process, it is necessary to identify and classify all types of errors in measuring instruments related to both the features of the technical means of measurement and the human factor. To solve the problem of classifying non-normative errors in measuring instruments, this article proposes the use of intelligent methods. The most suitable, effective and powerful means of solving the problem of non-normative errors classification is the use of artificial neural networks, which make it possible to develop the most effective control actions to compensate the arising non-normative errors.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Anton Vladimirovich Milov
AU  - Vladislav Viktorovich Kukartsev
AU  - Vadim Sergeevich Tynchenko
AU  - Valeriya Valerievna Tynchenko
AU  - Oleslav Alexandrovich Antamoshkin
PY  - 2018/05
DA  - 2018/05
TI  - Classification of non-normative errors in measuring instruments based on data mining
BT  - Proceedings of the International Conference "Aviamechanical engineering and transport" (AVENT 2018)
PB  - Atlantis Press
SP  - 432
EP  - 437
SN  - 2352-5401
UR  - https://doi.org/10.2991/avent-18.2018.83
DO  - 10.2991/avent-18.2018.83
ID  - Milov2018/05
ER  -