Trustworthy Predictive Maintenance (TPdM)
| Reference number | |
| Coordinator | Chalmers Tekniska Högskola AB - Chalmers Tekniska Högskola Inst f Industri- & materialvetensk |
| Funding from Vinnova | SEK 5 569 524 |
| Project duration | September 2022 - September 2025 |
| Status | Completed |
| Venture | Advanced digitalization - Enabling technologies |
| Call | Advanced and innovative digitalization 2022 |
Important results from the project
The goals focused on proof-of-concept development and providing high-level visualization support for PdM decision-making were successfully achieved through the creation of software prototypes and dashboards developed and validated in industrial use cases. The other goals centered on competence building and knowledge dissemination for innovation, where educational materials (e.g., MSc theses and course materials) and scientific papers were developed and published.
Expected long term effects
The project is expected to significantly reduce downtime and spare parts inventory, enhance productivity and energy efficiency, and promote sustainable and automated production. It will strengthen collaboration between industry and academia, build trust in AI for Smart Maintenance, empower maintenance staff, attract new talent, and increase industrial competitiveness through reliable, data-driven decision support.
Approach and implementation
The project followed an iterative plan with strong collaboration between partners. Regular meetings and active industrial involvement ensured effective design, development and deployment. Work packages progressed smoothly from data and modelling to decision support and dissemination. Iterative prototype testing with operators built trust in the system. The project developed as intended, activities were appropriate, and collaboration worked well throughout the project.