Modelling of the Generator Diagnosis System Based on a Spark Ignition Engine
Abstract This study proposes a new approach to the diagnosis of autonomous power-generating equipment operating on the basis of a spark-ignition engine, using computer simulation of the technical diagnosis system. The main idea of this method is the ability to mathematically determine the diagnostic parameters of the system, which allows analytically assessing the degree of wear of the cylinder-piston group. Determining the currents of the electric starter allows setting the functional parameter – the real degree of compression. This definition of the degree of compression allows setting the energy indicators of the generator. Using this method it is possible to establish the dependence of specific energy indicators on the technical condition of the generating plant. The conducted research resulted in the development of a multi-level hierarchical multi-component model of the system of technical diagnostics of a generator based on a spark-ignition engine. This model allows one to predict the diagnostic parameters of the research object and choose the necessary diagnostic tools. Calculation data obtained using the developed mathematical model of an electric generator with a single-cylinder engine and spark ignition based on real parameters testify to the high adequacy of the proposed mathematical model.
Authors
- Stefan Zaichenko (ORCID: https://orcid.org/0000-0002-8446-5408)
- Наталія Шевчук (ORCID: https://orcid.org/0000-0003-0355-9793)
- Natalia Jukova (ORCID: https://orcid.org/0000-0002-4215-6981)
- Denys Derevianko (ORCID: https://orcid.org/0000-0002-4877-5601)
- Serhii Korol (ORCID: https://orcid.org/0009-0009-8112-7532)
- O. Okhrimenko (ORCID: https://orcid.org/0000-0002-0657-6962)
Institutions
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (UA)
- Institute of Engineering Thermophysics (UA)
Publication Details
- Journal
- Latvian Journal of Physics and Technical Sciences
- Published
- 2025-03-26
- DOI
- https://doi.org/10.2478/lpts-2025-0009
- Primary Topic
- Engineering Diagnostics and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00