LAPSE:2023.31628
Published Article
LAPSE:2023.31628
Examination of Multivalent Diagnoses Developed by a Diagnostic Program with an Artificial Neural Network for Devices in the Electric Hybrid Power Supply System “House on Water”
Stanisław Duer, Konrad Zajkowski, Marta Harničárová, Henryk Charun, Dariusz Bernatowicz
April 19, 2023
This article presents the problem of diagnostic examination by the (DIAG) diagnostic system of devices of the House on Water (HoW) hybrid electric power system in the multi-valued (2, 3, and 4) state assessment. Forming the basis for the functioning of the (DIAG) diagnostic system is the measurement knowledge base of the object tested. For this purpose, the issues of building a diagnostic knowledge base for a hybrid power system for HoW are presented. The basis for obtaining diagnostic information for the measurement knowledge base is a functional and diagnostic analysis of the hybrid power system tested. The result of this analysis is a functional and diagnostic model of the research object. At the next stage of the work, on the basis of the model created, the sets of basic elements and the sets of measurement signals were determined together with the reference signals assigned. State classification in the (DIAG) system is based on an analysis of the value of the divergence metrics of the signal vectors tested. The purpose of the HoW diagnostic test is to assess an increase in the diagnoses developed by the intelligent diagnostic system (DIAG 2) in 4-valued logic in relation to the assessments in 3- and 2-valued logic.
Keywords
Artificial Intelligence, diagnostic reasoning, hybrid power system, multivalent logic, technical diagnostics
Suggested Citation
Duer S, Zajkowski K, Harničárová M, Charun H, Bernatowicz D. Examination of Multivalent Diagnoses Developed by a Diagnostic Program with an Artificial Neural Network for Devices in the Electric Hybrid Power Supply System “House on Water”. (2023). LAPSE:2023.31628
Author Affiliations
Duer S: Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15−17 Raclawicka St., 75-620 Koszalin, Poland
Zajkowski K: Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15−17 Raclawicka St., 75-620 Koszalin, Poland [ORCID]
Harničárová M: Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic
Charun H: Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15−17 Raclawicka St., 75-620 Koszalin, Poland
Bernatowicz D: Faculty of Electronic and Informatic, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland
Journal Name
Energies
Volume
14
Issue
8
First Page
2153
Year
2021
Publication Date
2021-04-12
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14082153, Publication Type: Journal Article
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LAPSE:2023.31628
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doi:10.3390/en14082153
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Apr 19, 2023
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