]> 2026-04-04T10:48:11+02:00 VBPM 0 en Sławomir Nowaczyk, Yuantao Fan The 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. false Procedure.png 2018-06 2458270.5 Sławomir Nowaczyk 2017-01 2457754.5 Volvo Bus Predictive Maintenance VBPM 2017-11-09T17:55:13Z 2458067.2466782 VBPM 0 1 list 2 [[Title::VBPM]] VBPM# QUERY0a3dc5c36ebf6fc03df4673a769a3fc0 0 1 ul 4 [[Category:Person]] [[Project::VBPM]] [[Category:Staff]] VBPM# QUERYef1ac505a1c69fbebb6bb3c5538baeac 0 1 ul 4 [[Category:Person]] [[Project::VBPM]] [[Affiliation::+]] VBPM# QUERY0d9365641268f4d1935ffe7d9f7c477e 0 0 plainlist 1 [[:VBPM]] VBPM# QUERY2510d28436c2305a0129cab16aa6ffd6