Enhanced Anomaly Detection within Internal Combustion Engines

• Research unit: INNOSUISSE
• Project number: 103.163.1 IP-ICT

Short description (German)

Enhanced Anomaly Detection within Internal Combustion Engines

Short description (English)

Enhanced Anomaly Detection within Internal Combustion Engines

Abstract (German)

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 .

Abstract (English)

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 .