Development of the algorithm and structure of software for diagnostics of mobile power facilities
https://doi.org/10.25206/1813-8225-2023-187-30-38
EDN: BUQZPX
Abstract
The paper develops an algorithm for determining the required diagnostic parameters and performance indicators of mobile power equipment (MPE), which implements the methodology improved by the authors of the non-brake studies of the internal combustion engine (ICE) and moving MPE during the transient process of their acceleration. For the first time, the regularity of recording, processing data from primary converters and the sequence of calculating model parameters is shown, with the possibility of taking into account the characteristics of the transient processes of acceleration of the crankshaft of the internal combustion engine and the MPE, Thus, the developed algorithm and software structure are able to implement the methodology proposed by the authors of the non-standard studies of the internal combustion engine (ICE) and the moving MPE. To fix the required parameters from the primary converters, it is proposed to use the well-known programs CoolEdit2000 v.1.0.2374 and VisualGPS v.4.2.105.1. The article describes in detail each process of the algorithm, reflects the procedure for working with primary information and ways to improve the accuracy of calculations.
About the Authors
D. V. Kazakov
Armavir Institute of Mechanics and Technology (branch) of the Kuban State Technological University
Russian Federation
Russian Federation
KAZAKOV Dmitriy Viktorovich, Candidate of Technical Sciences, Associate Professor of Machinery and Equipment of Oil and Gas Fields Department
Armavir
AuthorID (SCOPUS): 57218553265
ResearcherID: 7202-2014
N. L. Gurzhi
Armavir Institute of Mechanics and Technology (branch) of the Kuban State Technological University
Russian Federation
Russian Federation
GURZHI Nataliya Leonidovna, Candidate of Technical Sciences, Senior Lecturer of Mechanical Engineering Department
Armavir
N. E. Kurdagia
Armavir Institute of Mechanics and Technology (branch) of the Kuban State Technological University
Russian Federation
Russian Federation
KURDAGIA Nugzar Eldarovich, Student gr. 21-FABND1 of Machinery and Equipment of Oil and Gas Fields Department
Armavir
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Review
For citations:
Kazakov D.V., Gurzhi N.L., Kurdagia N.E. Development of the algorithm and structure of software for diagnostics of mobile power facilities. Omsk Scientific Bulletin. 2023;(3):30-38. (In Russ.) https://doi.org/10.25206/1813-8225-2023-187-30-38. EDN: BUQZPX
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