"Forecast" - adaptive forecast diagnostic intelligent system for vehicles. Issue 1 (April 2020)
- Record Type:
- Journal Article
- Title:
- "Forecast" - adaptive forecast diagnostic intelligent system for vehicles. Issue 1 (April 2020)
- Main Title:
- "Forecast" - adaptive forecast diagnostic intelligent system for vehicles
- Authors:
- Poddubnaya, A A
Keller, A V - Abstract:
- Abstract: 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.
- Is Part Of:
- IOP conference series. Volume 819:Issue 1(2020)
- Journal:
- IOP conference series
- Issue:
- Volume 819:Issue 1(2020)
- Issue Display:
- Volume 819, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 819
- Issue:
- 1
- Issue Sort Value:
- 2020-0819-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- Materials science -- Periodicals
620.1105 - Journal URLs:
- http://iopscience.iop.org/1757-899X ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1757-899X/819/1/012008 ↗
- Languages:
- English
- ISSNs:
- 1757-8981
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25494.xml