PSI - Issue 59

Victor Aulin et al. / Procedia Structural Integrity 59 (2024) 436–443

443

Victor Aulin et al. / Structural Integrity Procedia 00 (2019) 000 – 000

The statistical hypothesis testing methods have been used to form a rational set of diagnostic parameters for effective assessment of the technical condition of the cylinder-piston group, the slider-crank linkage, the valvetrain as the main resource-determining elements of the engine. The figures of the convergence of recognized defects show that all examples from the training and test samples were fully recognized, it indicates the adequacy of the built ANN models, as well as the validity of the proposed hypothesis regarding the required volume of the training sample. Constructed graph models of the obtained ANN for the recognition of defects in the cylinder-piston group, the slider-crank linkage, the valvetrain base on diagnostic information. Selected IBM software product SPSS Statistics made it possible to build ANN models within the framework of processing experimental data, however, this software is not able fully cover the ANN method, which indicates the need to develop original software that will be the basis for organizing of the automated workplace of the operator diagnostician when determining the technical condition of the power unit of cars. References About the Approval of the Concept of the Development of Artificial Intelligence in Ukraine, 2020. Decree of the Cabinet of Ministers of Ukraine Dated December 2 2020. № 1556 - р. Kyiiv. URL:https://zakon.rada.gov.ua/laws/show/1556-2020-%D1%80#Text (Last accessed: 04.10.2023). Aulin, V., Hrynkiv, A., Dykha, A., Chernovol M., Lyashuk, O., Lysenko, S., 2018. Substantiation of Diagnostic Parameters for Determining the Technical Condition of Transmission Assemblies in Trucks. Eastern-European Journal of Enterprise Technologies 2 (1-92), 4-13. 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