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From ISLAB/CAISR
VBPM
ApplicationArea Intelligent Vehicles +
ContactInformation Sławomir Nowaczyk, Yuantao Fan  +
Description The overall objective of this project is tThe overall objective of this project is to improve uptime for Volvo buses as well as scheduling maintenance cost-effectively. Guaranteeing vehicle uptime is important since downtime caused by component failures are increasingly difficult to identify and being dealt with as the complexity of modern transport solution increases. The project is aiming at developing a framework, powered by machine learning technique, for predicting component failures in buses and providing fleet operator decision support for scheduling maintenance. Proposed machine learning models will be built, tested and validated based on real data. This project is a collaboration with Volvo Bussar AB and Volvo Truck Technology.olvo Bussar AB and Volvo Truck Technology.
Lctitle false  +
LogotypeFile Procedure.png  +
ProjectEnd June 2018  +
ProjectResponsible Sławomir Nowaczyk  +
ProjectStart January 2017  +
Projectpartner Volvo Bussar AB +
ShortDescription Volvo Bus Predictive Maintenance  +
Title VBPM  +
Has queryThis property is a special property in this wiki. VBPM + , VBPM + , VBPM + , VBPM + , VBPM + , VBPM + , VBPM + , VBPM + , VBPM + , VBPM + , VBPM + , VBPM + , VBPM +
Categories ResearchProject  +
Modification dateThis property is a special property in this wiki. 9 November 2017 17:55:13  +
Page has default formThis property is a special property in this wiki. ResearchProj  +
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