MATEC Web Conf.
Volume 341, 2021The VII International Scientific and Practical Conference “Information Technologies and Management of Transport Systems” (ITMTS 2021)
|Number of page(s)||8|
|Published online||21 July 2021|
Application of intelligent analysis to identify defective vehicle components
Kazan Federal University, Syuyumbike Avenue, 10A, Naberezhnye Chelny, 423812, Russia
* Corresponding author: firstname.lastname@example.org
The article shows the possibility of using intelligent analysis in a vehicle service when assessing the vehicle reliability. It was hypothesized that the use of association rules in diagnostics can increase the speed of repairs and the quality of customer service, allowing to identify the nodes that are highly likely to be faulty at the same time. For this, a knowledge base was built from the patterns obtained by applying association rules to the vehicle failure statistics. An application was implemented, which, on its basis, issues recommendations to the repair worker to check certain nodes based on the already identified defective nodes entered into the program. The proposed technique, together with the developed software tool, will optimize the diagnostic processes.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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