The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Analysis and Synthesis of Intelligent System for Electric Mode Control in Electric Arc Furnace
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In the citing paper
“Even though this example illustrates the production process-related demands towards the development of the SCADA system, the computational aspect is even more emphasized in EAF area where electrodes adjustment algorithms combines neural networks, fuzzy logic and Proportional Integral Derivative (PID) control to cope with problem of non-linearity and time-varying characteristics [10], [11].”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [10]
Citations
Cites
Chang, G. W., Shih, M.-F., Chen, Y., et al. (2014) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2013.2280397 · Cited by 53
Modeling and control of an electric arc furnace
Balan, R., Mătieș, V., Hancu, O., et al. (2007) · 2006 14th Mediterranean Conference on Control and Automation · doi:10.1109/med.2007.4433737 · Cited by 47
Electric arc furnace modeling for power quality analysis
Gómez, A. Á., Durango, J. J. M., & Mejía, A. E. (2010) · IEEE ANDESCON · doi:10.1109/andescon.2010.5629655 · Cited by 33
Neural networks for steel manufacturing
Schlang, M. F., Poppe, T., & Gramchow, O. (1996) · IEEE Expert · doi:10.1109/64.511770 · Cited by 27
Nonlinear black-box modeling of electric arc furnace: an application of fuzzy logic systems
Sadeghian, A., & Lavers, J. D. (1999) · doi:10.1109/fuzzy.1999.793241 · Cited by 26
A direct adaptive controller for EAF electrode regulator system using neural networks
Li, L., & Mao, Z. (2011) · Neurocomputing · doi:10.1016/j.neucom.2011.10.020 · Cited by 22
Fuzzy control law of electrode travel in arc steelmaking furnace
Lozynskyy, O., Paranchuk, Y., & Paranchuk, R. (2015) · International Conference on Computational Problems of Electrical Engineering (CPEE) · doi:10.1109/cpee.2015.7333349 · Cited by 11
Self-citationThe system of arc lengths regulation of an electric arc furnace with a neuro-controller
Paranchuk, Y., & Matsyhin, A. (2013) · PRZEGLĄD ELEKTROTECHNICZNY · Cited by 10
Self-citationLozinskii, O. Y., & Paranchuk, Y. (2007) · Russian Metallurgy (Metally) · doi:10.1134/s0036029507080204 · Cited by 7
Self-citationLozynskyy, O., Paranchuk, R., & Paranchuk, Y. (2011) · Cited by 6
Self-citation
Research works printed but not linked: 11
- Kudrin, B.I.: Retrospective and perspective views on electric power consumption in electrometallurgy. Part 1. Electrometall. J. 10, 2–13 (2003)
- UA Patent No. 53074 A. Ukraine. Device for regulation of electrical mode of multi-phase electric arc furnace. O. Yu. Lozynskyy, A. O. Lozynskyy, Ya.S. Paranchuk, R.Ya. Paranchuk. - Published 15/01/03.- Bulletin No. 1
- Paranchuk, Y.S.: Harmonic analysis of current of magnetic thyristor voltage converter. Tekhnichna Electrodynamika J. Power Electron. Energy Effic. 2, 37–40 (2002)
- Bedyn, M., Romano, M.: Electric arc furnace powered by self-saturating reactor. Electrometall. J. 4, 15–20 (2004)
- Lozynskyy, O.Y., Paranchuk, Y.S.: Hierarchical system of multi criteria optimal control of electric arc furnace modes with fuzzy adaptation. Tekhnichna Elektrodynamika J. 3, 103–104 (2012)
- Lozinskyy, O.Y., Paranchuk, Y.S.: Optimization of modes control system for electric steel-melting in electric arc furnaces. Electrotekhnika J. 6, 50–54 (2004)
- Paranchuk, Y.S., Paranchuk, R.Y.: Neutral network system for continuous voltage monitoring in electric arc furnace. Sci. Bull. Natl. Min. Natl. Min. Univ. 2(152), 74–80 (2016)
- Lozynskyy, O.Y., Marushchak, Y.Y.: Some aspects of control actions formation in electromechanical systems. Electrotekhnika J. 5, 52–56 (1999)
- Lozynskyy, A.O., Paranchuk, Y.S., Demkiv, L.I.: Study of the electrode positioning system of electric arc furnace with fuzzy controller. Tekhnichna Elektrodynamika J. 2, 73–76 (2014)
- Malyar, A.V., Andreishyn, A.S.: Selection of a neural network for computing filling factor of the deep well pump. Probl. Autom. Electr. Drive Theory Pract. Special issue of Electromekhanichni ta Eletrozberigaiyuchi Systemy Journal. Kremenchuk 3(19), 543–545 (2012)
- Lozynskyy, O.Y., Kostyniuk, L.D., Perevozniuk, V.Y.: Automated system of recognition of melting stages in EAF. Electrotekhnika J. 3, 23–24 (1987)
Cited by
Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71
“…development of the SCADA system, the computational aspect is even more emphasized in EAF area where electrodes adjustment algorithms combines neural networks, fuzzy logic and Proportional Integral Derivative (PID) control to cope with problem of non-linearity and time-varying characteristics [10].”
Background
Metadata
- Authors
- Lozynskyy, O., Lozynskyy, A., Paranchuk, Y., Paranchuk, R., Marushchak, Y., & Malyar, A.
- Affiliations
- Lviv Polytechnic National University (UA)
- Corresponding author
- Lozynskyy, Orest
- Venue
- Lecture Notes in Electrical Engineering
- Publisher
- Springer International Publishing
- Published
- 2017-10-21
- Pages
- 111-130
- ISSN
- 1876-1100 (ISSN-L)
- 1876-1119
- OpenAlex
- W2766859874
- Cited by
- 5
- References
- 13
- Citations by year
- 2022: 1 · 2020: 1 · 2019: 2 · 2018: 1
- FWCI
- 3.22
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in electrical engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Technology and Control Systems
- Physical Sciences › Materials Science › Metals and Alloys › Iron and Steelmaking Processes
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power Systems and Control
- Keywords
- electric arc furnace, adaptive optimal control, hierarchical control system, arc power, artificial neural networks, wavelet transform
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Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Analysis and Synthesis of Intelligent System for Electric Mode Control in Electric Arc Furnace. https://app.cochat.ai/papers/10.1007/978-3-319-63949-9_7
- The paper
- Lozynskyy, O., Lozynskyy, A., Paranchuk, Y., Paranchuk, R., Marushchak, Y., & Malyar, A. (2018). Analysis and Synthesis of Intelligent System for Electric Mode Control in Electric Arc Furnace. Lecture Notes in Electrical Engineering. https://doi.org/10.1007/978-3-319-63949-9_7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
