Modelling of a Technical Diagnostic System for a Generator Based on an Internal Combustion Engine(ICE)
This paper presents a new approach to diagnose autonomous power-generating equipment derived from an ICE by means of computer modeling of the performance of the technical diagnosis system. The essence of the proposed method is the possible mathematical determination of diagnostic parameters of the system, which allows analytically determining the degree of wear of the cylinder-piston group. Determining the currents of the electric starter allows One to establish the functional parameter - the real degree of compression. Determining the compression ratio allows One to set the energy indicators of the generator. The use of this method made it possible to establish the dependence of specific energy indicators on the technical condition of the generating plant. As a result of the conducted research, a multi-level hierarchical multi-component model of the system of technical diagnostics of the generator based on the ICE was created, which allows to predict the diagnostic parameters of the research object and select the necessary diagnostic tools. The calculated data obtained from the developed mathematical model of an electric generator with a single-cylinder engine with spark ignition based on real parameters shows the high adequacy of the proposed mathematical model.
Authors
- Halyna Bielokha (ORCID: https://orcid.org/0000-0003-4277-367X)
- Наталія Шевчук (ORCID: https://orcid.org/0000-0003-0355-9793)
- Denys Derevianko (ORCID: https://orcid.org/0000-0002-4877-5601)
- Serhii Korol (ORCID: https://orcid.org/0009-0009-8112-7532)
- Wenjun Zhang (ORCID: https://orcid.org/0000-0002-4497-0688)
- Stefan Zaichenko
Institutions
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (UA)
- Institute of Engineering Thermophysics (UA)
Publication Details
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1109/khpiweek61434.2024.10878077
- Primary Topic
- Engineering Diagnostics and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00