Abstract
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.
Highlights
The development of technics and technology leads to the fact that it is becoming more and more difficult to provide the consumer with the trouble-free operation of his vehicles
It was hypothesized that the use of association rules in vehicle diagnostics can improve the level of customer service, allowing to determine the nodes that are highly likely to be faulty at the same time
To achieve goal to be sought, a method of building a knowledge base using association rules was chosen, which is based on an apriori algorithm capable of processing a significant amount of information in a reasonable time, and as a language for creation - C # application, which in this case is optimal for rapid development complex applications for Windows
Summary
The development of technics and technology leads to the fact that it is becoming more and more difficult to provide the consumer with the trouble-free operation of his vehicles. The increasing complexity of the vehicle design associated with the use of new engine types (electric energy and hydrogen cells), the transition to fuel alternative types (biofuels, compressed and liquefied natural gas), its intellectualization, leading to an increase in the share of electrics and electronics, impose new requirements for the specialists’ qualifications for the detection and diagnosis of malfunctions. The main task in the event of a vehicle breakdown is to find all defective units as quickly and accurately as possible, since one of the ways to improve operational reliability is to reduce the repair time. Since diagnostics is associated with the processing of information large amounts, tools to quickly identify complex interconnections through multivariate analysis are needed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
