IRIS - Integrated dynamically prognosticating service support
| Reference number | |
| Coordinator | Scania CV Aktiebolag - Vehicle Service Information |
| Funding from Vinnova | SEK 11 577 361 |
| Project duration | November 2012 - October 2017 |
| Status | Completed |
| Venture | Transport Efficiency |
| End-of-project report | 2012-03665x.pdf(pdf, 349 kB) (In Swedish) |
Important results from the project
IRIS, Integrated dynamic predictive maintenance support, has developed a methodology to estimate the remaining useful life of components on heavy vehicles. The results havel been implemented in a demonstrator, including decision support and prognostic algorithms.
Expected long term effects
The project has lead to a demonstrator that can be evaluated in a workshop for a fleet of vehicles, where the use of the prototype provides an increase in vehicle available operating time and a reduction of the total cost of planned and unplanned maintenance. Furthermore, the parties have strengthen their academic excellence in the field of prognostics and diagnostics.
Approach and implementation
The project was partitioned into four work packages, where the first was focused on applied research to develop methods for estimating remaining useful life of components. This is based on machine learning strengthed with physical modelling. The second package developed a decision-making logic that can be used to assess the impact of a vehicle´s overall health status. In the third, prognostic modells have been developed for some components. In the last package a demonstrator was developed that can be used by fleet owners, workshop managers and others to plan maintenance.