Identification of Cyclic Changes in the Operation Mode of the Production Facility Based on the Monitoring Data

Nina Davydenko , Igor Korobiichuk , Liudmyla Davydenko , Michał Nowicki , Volodymyr Davydenko

Abstract

The article deals with the issues of formalizing the change of the actual conditions of the operation mode of the production facility. The purpose of the article is to develop a mechanism for identifying these changes based on the analysis of data obtained from the monitoring system the operation mode of the facility. The expediency of using the pattern recognition apparatus for solving the issue is substantiated. As an indicator of changing operation conditions, it is suggested to use the profile of the relevant factor of the external environment described by morphometric indicators. The two-step procedure is proposed based on the successive use of pattern recognition algorithms without and with training. It provides the formation of knowledge about the possible states of the facility operation conditions and the construction of classifier to determine the accordance to one of them. Structurally-parametric identification of the classifier model is performed by the group method of data handling. The use of the proposed mechanism will contribute to the effective planning of operation modes of production facilities, the determination of time ranges for supporting such modes, their control, and the prevention of non-typical operation modes.
Author Nina Davydenko - National University of Water and Environmental Engineering [National University of Water and Environmental Engineering]
Nina Davydenko,,
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- National University of Water and Environmental Engineering
, Igor Korobiichuk (FM / IACR)
Igor Korobiichuk,,
- The Institute of Automatic Control and Robotics
, Liudmyla Davydenko - Lutsk National Technical University [Lutsk National Technical University]
Liudmyla Davydenko,,
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, Michał Nowicki (FM / IMBE)
Michał Nowicki,,
- The Institute of Metrology and Biomedical Engineering
, Volodymyr Davydenko - National University of Water and Environmental Engineering [National University of Water and Environmental Engineering]
Volodymyr Davydenko,,
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- National University of Water and Environmental Engineering
Pages189-197
Publication size in sheets0.5
Book Szewczyk Roman, Krejsa Jiří, Nowicki Michał, Ostaszewska-Liżewska Anna (eds.): Mechatronics 2019: Recent Advances Towards Industry 4.0, Advances in Intelligent Systems and Computing, vol. 1044, 2020, Springer International Publishing, ISBN 978-3-030-29992-7, [978-3-030-29993-4], 515 p., DOI:10.1007/978-3-030-29993-4
Keywords in Englishpattern recognition, relevant factor profile, morphometric parameters, group method of data handling, classifier
DOIDOI:10.1007/978-3-030-29993-4_24
URL https://link.springer.com/chapter/10.1007/978-3-030-29993-4_24
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 13-12-2019, MonographChapterAuthor
Publication indicators Scopus Citations = 0
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