Research papers · Posted 2022.12.27 · Preprint
Anomaly detection in laser-guided vehicles' batteries: a case study
Anomaly detection in laser-guided vehicles' batteries: a case study
Overview
This case study describes time-series anomaly monitoring for batteries in industrial laser-guided vehicles. Its maintenance-oriented application offers supporting context for battery-condition monitoring, although the abstract provides limited methodological or quantitative detail.
Author-supplied source information
Author-supplied information on arXiv.
This paper contains a report on the research work carried out as a collaboration between the Department of Engineering and Architecture of the University of Parma and Elettric80 spa within project SUPER (Supercomputing Unified Platform Emilia Romagna)
Version: v1