Enhanced Anomaly Detection within Internal Combustion Engines

• Forschungsstelle: INNOSUISSE
• Projektnummer: 103.163 IP-ICT
• Projekttitel Englisch: Enhanced Anomaly Detection within Internal Combustion Engines

Schlüsselwörter (Englisch)

ICT, Deep learning

Abstract (Englisch)

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 .