Next Service Date Forecasting for Commercial Vehicles Using Large Amount of Time-Series Connectivity Data from Global Tractor Fleet
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- 形態
- 価格
- 一般価格(税込):¥1,100 会員価格(税込):¥880
- 文献番号
- 20225319
- 文献・情報種別
- 学術講演会予稿集(春)
No.72-22
- 掲載ページ
- 1-8(Total 8 p)
- 発行年月
- 2022年 5月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2022年春季大会
書誌事項
著者(英) | 1) Gei Chiara, 2) Zivadinovic Milan, 3) Brunner Dominik, 4) Jukic Gordana, 5) Manda Harisyam, 6) Schagerl Gerhard |
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勤務先(英) | 1) AVL List, 2) AVL List, 3) AVL List, 4) AVL List, 5) AVL List, 6) AVL List |
抄録(英) | 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. 翻訳 |