Enhanced Anomaly Detection within Internal Combustion Engines

• Unité de recherche: INNOSUISSE
• Numéro de projet: 103.163.1 IP-ICT
• Titre du projet anglais: Enhanced Anomaly Detection within Internal Combustion Engines

Description succincte (Allemand)

Enhanced Anomaly Detection within Internal Combustion Engines

Description succincte (Anglais)

Enhanced Anomaly Detection within Internal Combustion Engines

Résumé des résultats (Abstract) (Allemand)

The goal is to develop deep learning models to allow detection of anomalies within internal combustion engines prior to component failure. A smart approach to transfer models to work on different applications is considered key to enable digital services monitoring the component state of health .

Résumé des résultats (Abstract) (Anglais)

The goal is to develop deep learning models to allow detection of anomalies within internal combustion engines prior to component failure. A smart approach to transfer models to work on different applications is considered key to enable digital services monitoring the component state of health .