Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance

Riccardo Rosati, Luca Romeo, Adriano Mancini

Abstract: Highlights•Introduced a human-centered DSS for predictive maintenance in ATMs.•Integrated human expertise with automated diagnostics for PdM.•Collected and analyzed real-world operational data from ATMs.•Developed STL and MTL models enhancing fault detection accuracy.•Proposed edge computing for real-time fault diagnosis and response.