DUER, Stanisław, Konrad ZAJKOWSKI, Marta HARNIČÁROVÁ, Henryk CHARUN and Dariusz BERNATOWICZ. 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”. Energies. SWITZERLAND: MDPI, volume 14/, No 8, p. nestránkováno, 19 pp. ISSN 1996-1073. 2021.
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Basic information
Original name 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”
Authors DUER, Stanisław (guarantor), Konrad ZAJKOWSKI, Marta HARNIČÁROVÁ (203 Czech Republic, belonging to the institution), Henryk CHARUN and Dariusz BERNATOWICZ.
Edition Energies, SWITZERLAND, MDPI, 2021, 1996-1073.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 20501 Materials engineering
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/21:00002098
Organization unit Institute of Technology and Business in České Budějovice
UT WoS 000644144600001
Keywords in English technical diagnostics; diagnostic reasoning; multivalent logic; artificial intelligence; hybrid power systém
Tags KSTR5, RIV21, WOS
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 25/6/2021 09:17.
Abstract
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.
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