[IMC 2024] Predictive maintenance for heavy duty vehicles

Prof. Sepideh Pashami, Halmstad University
Predictive maintenance for heavy duty vehicles, like any other equipment, aims at predicting failures by analyzing sensor data. Yet the unique nature of heavy-duty vehicles operating in uncontrolled environment poses novel challenges in effectively detecting symptoms of impending issues. AI has been shown to provide accurate detection and identification of deviations from typical behavior. The question now is that how to proceed with flexible, robust, understandable and scalable solutions. This talk describes the application area and presents implementation of domain adaptation and explainability methods to address some of the existing challenges.