BELIEF – From Prediction to Trust: AI-Based Decision Support for Maintenance
Projektet utvecklar AI-baserat beslutsstöd för prediktivt underhåll i industrin, med fokus på tillit, förklarbarhet och implementering i industriella beslutsprocesser.
Start
2026-04-01
Planned completion
2028-03-31
Main financing
Collaboration partners
Research group
Project manager at MDU
External project members
Ulf Johansson Project Leader, Professor-Computer Science, Jönköping University.
Karin Hellerstedt, Professor- Jönköping International Business School.
Einav Peretz-Andersso, Universitetslektor- Jönköping University
Johannes Oetsch, Universitetslektor- Jönköping University
Teddy Lazebnik, Assistant Professor- Jönköping University
The BELIEF project explores how artificial intelligence can improve maintenance in industry. Rather than only predicting failures, the project focuses on developing decision support systems that engineers can trust and use in everyday work. By combining advanced AI with explainable models and human evaluation, solutions are developed and tested in real industrial environments. The goal is to reduce downtime, improve resource efficiency, and strengthen the competitiveness of Swedish industry.
Project objective
To develop and validate trusted and explainable AI-based decision support for predictive maintenance in industrial environments.
