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'
| Autor: | Dariusz Bernatowicz, Stanisław Duer, Konrad Zajkowski, Henryk Charun, Marta Harničárová |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Control and Optimization
Relation (database) Computer science 020209 energy technical diagnostics Energy Engineering and Power Technology 02 engineering and technology computer.software_genre lcsh:Technology Electric power system diagnostic reasoning 0202 electrical engineering electronic engineering information engineering multivalent logic artificial intelligence hybrid power system Electrical and Electronic Engineering Medical diagnosis Engineering (miscellaneous) Artificial neural network Renewable Energy Sustainability and the Environment business.industry lcsh:T 020208 electrical & electronic engineering Knowledge base Diagnostic program State (computer science) Data mining Hybrid power business computer Energy (miscellaneous) |
| Zdroj: | Energies, Vol 14, Iss 2153, p 2153 (2021) Energies; Volume 14; Issue 8; Pages: 2153 |
| ISSN: | 1996-1073 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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