Data-Driven Methodology for Predictive Maintenance of Commercial Vehicle Turbochargers
Author:
Affiliation:
1. Federal University of ABC,Engineering and Innovation Management,Santo André,Brazil
2. Scania Latin America Ltda.,Trucks Development,São Bernardo do Campo,Brazil
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10374478/10374482/10374966.pdf?arnumber=10374966
Reference11 articles.
1. Machine learning methods for vehicle predictive maintenance using off-board and on-board data;Prytz;Halmstad University Press,2014
2. A systematic literature review of machine learning methods applied to predictive maintenance
3. Planning Flexible Maintenance for Heavy Trucks using Machine Learning Models, Constraint Programming, and Route Optimization
4. Generating Real-valued Failure Data for Prognostics Under the Conditions of Limited Data Availability
5. Resolving Class Imbalance using Generative Adversarial Networks;Nataraj;Halmstad,2020
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