"Forecast" - adaptive forecast diagnostic intelligent system for vehicles

The article contains general information about promising vehicle diagnostic systems. Existing diagnostic systems, including those built into modern vehicles (MV), are not able to predict the moment of failure of components and assemblies, but only state the fact of a malfunction. To diagnose the cur...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-04, Vol.819 (1), p.12008
Main Authors: Poddubnaya, A A, Keller, A V
Format: Article
Language:English
Subjects:
Diagnostic systems
Machine learning
Vehicles
Online Access:Get full text
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Summary:The article contains general information about promising vehicle diagnostic systems. Existing diagnostic systems, including those built into modern vehicles (MV), are not able to predict the moment of failure of components and assemblies, but only state the fact of a malfunction. To diagnose the current state and predict the residual life of the vehicle in motion mode, a mathematical model, based on machine learning technologies and data from standard additional sensors and MV detectors, is suggested. Using this approach will make it possible to forecast the defect before its actual occurrence.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/819/1/012008