Title :
Vehicle diagnostics based on decision trees
Author :
Gofman, Yevgeniy
Author_Institution :
Zaporizhzhya Nat. Tech. Univ., Zaporizhzhya, Ukraine
Abstract :
In this article the method of diagnosing of T-150 model car lanos is designed for enterprise CJSC “ZAZ”. This method is implemented to improve the quality of the process of diagnostics and increasing the rate of automation in the enterprise as a whole.
Keywords :
automobile manufacture; decision trees; fault diagnosis; product quality; CJSC ZAZ enterprise; T-150 model car lanos; decision trees; enterprise automation; process quality; vehicle diagnostics; Analytical models; Lead; Measurement uncertainty; Predictive models; auto body; decision trees; diagnostics;
Conference_Titel :
Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), 2012 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-1-4673-0283-8
