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From ISLAB/CAISR
In4Uptime
ApplicationArea Intelligent Vehicles +
ContactInformation Sławomir Nowaczyk  +
Description The goal of the project is to keep commercThe goal of the project is to keep commercial vehicles in good operational condition, both from a financial and safety point of view. Haulers and transporters require OEMs to provide vehicles having close to 100% uptime. That means no stops, unless planned, as well as guarantees on optimal performance of all components ensuring acceptable levels of CO2 emission and fuel consumption. Utilizing data that comes from sources with different origin, such as on-board, off-board, structured, unstructured, private and public, and by combining information and finding common patterns will allow us to better adapt the service contracts and maintenance plans to the needs of individual customers and individual vehicles. Volvo Technology will coordinate the project and is overall responsible. The other partners of the project are: Volvo Information Technology, Högskolan i Halmstad, Svenska Innovationsinstitutet and Recorded Future.Innovationsinstitutet and Recorded Future.
FundingMSEK 11  +
Lctitle false  +
LogotypeFile Procedure.png  +
ProjectDetailsPDF In4UptimeInfo.pdf  +
ProjectEnd January 2016  +
ProjectResponsible Sławomir Nowaczyk  +
ProjectStart February 2014  +
Projectpartner Volvo Group - Trucks Technology - Advanced Technology and Research +
ShortDescription Vehicle diagnostics and predictive maintenance  +
Title In4Uptime  +
Has queryThis property is a special property in this wiki. In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime + , In4Uptime +
Categories ResearchProject  +
Modification dateThis property is a special property in this wiki. 16 May 2014 13:27:51  +
Page has default formThis property is a special property in this wiki. ResearchProj  +
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Mohamed-Rafik Bouguelia + , Sławomir Nowaczyk + , Yuantao Fan + Project
Publications:A Self-Organized Fault Detection Method for Vehicle Fleets + , Publications:Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet + , Publications:Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet + , Publications:Predicting Air Compressor Failures with Echo State Networks + Projects
 

 

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