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Summary & Details

Next Service Date Forecasting for Commercial Vehicles Using Large Amount of Time-Series Connectivity Data from Global Tractor Fleet

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20225319

Paper/Info type: Proceedings (Spring)

No.72-22

Pages: 1-8(Total 8 p)

Date of publication: May 2022

Publisher: JSAE

Language: English

Event: 2022 JSAE Annual Congress (Spring)

Detailed Information

Author(E)	1) Gei Chiara, 2) Zivadinovic Milan, 3) Brunner Dominik, 4) Jukic Gordana, 5) Manda Harisyam, 6) Schagerl Gerhard
Affiliation(E)	1) AVL List, 2) AVL List, 3) AVL List, 4) AVL List, 5) AVL List, 6) AVL List
Abstract(E)	The world-wide trend for digitalization and impact of connectivity offers the possibility to decrease total cost of ownership with application of modern data science methods. The proposed solution includes data collection and fleet monitoring while in operation by the end-costumer. Modern commercial systems are equipped with connectivity devices and sensors, which send selected information from the vehicle to the Cloud environment of the vehicle manufacturer. The basic concept is, using this large amount of time-series data for analytics services, in order to derive preventive technical actions to mitigate the risk for specific failures and prevent down times of the product.

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