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MACHINE LEARNING BASED APPROACH FOR EVAP SYSTEM EARLY ANOMALY DETECTION USING CONNECTED VEHICLE DATA
Publikováno v:
International Journal of Prognostics and Health Management, Vol 14, Iss 3 (2023)
From automobile manufacturers’ perspective, reduction of warranty cost leads to less expenditures, which then yields higher profits. Hence, it is crucial to leverage the different methods and available tools to achieve such outcome. Connected vehic
Externí odkaz:
https://doaj.org/article/c1dda3ed08c447d3804d33ca21aef7fb
Autor:
McDonough, Kevin, D'Amato, Anthony, Mullen, Jonathan, Petersen, Chris, Kolmanovsky, Ilya, Filev, Dimitar
Publikováno v:
53rd IEEE Conference on Decision & Control; 2014, p4101-4106, 6p
Publikováno v:
2013 IEEE International Conference on Cybernetics (CYBCO); 2013, p1-6, 6p
Autor:
Paul Richards, Jim Barker
The earlier editions of this title have been best-selling definitive references for those needing technical information about automotive fuels. This long-awaited latest edition has been thoroughly revised and updated, yet retains the original fundame
Autor:
Paul Richards
The first two editions of this title, published by SAE International in 1990 and 1995, have been best-selling definitive references for those needing technical information about automotive fuels. This long-awaited new edition has been thoroughly revi