PhD studies in Data Driven Modeling within Quality & Uptime for Commercial Vehicles
|Coordinator||Volvo Technology AB|
|Funding from Vinnova||SEK 2 000 000|
|Project duration||January 2009 - December 2011|
|End-of-project report||Datadriven modellering inom kvalitet och tillgänglighet för kommersiella fordon(pdf, 537 kB) (In Swedish)|
Purpose and goal
There is a need to improve service management on commercial vehicles, to do service when it is actually needed. Volvo Technology and Halmstad University has developed a method for automatic fault detection with connected vehicles. The method works well but there are still unanswered research related questions, e.g. 1) Where are there for limitations and advantages with the proposed method compared to existing methods? 2) Are there cases when non linear models are better than the linear? 3) Are time lag signals required for building good models? 4) Is it possible to design a knowledge database on fault cases based on model data? 5) Is it possible to calculate remaining life time with this type of model? 6) How should the over all solution be made, services? Some of these questions will be answered in the framework of the remaining PhD studies; some will be dealt with in coming projects.
Results and expected effects
- Doctoral degree - Academic publications - Demonstrator for test of proposed technology for improved availability and quality of commercial vehicles - Increased competence - Closer collaboration between VolvoTechnology and Halmstad University
Approach and implementation
Volvo Technology manages the project including a industrial PhD student that shall finnish with a dostoral degree within the project. PhD student collaborates very closely with the supervisor and researchers at Halmstad University.