Enhanced Anomaly Detection within Internal Combustion Engines - Texte

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Forschungsstelle

INNOSUISSE

Projektnummer

103.163.1 IP-ICT

Projekttitel

Enhanced Anomaly Detection within Internal Combustion Engines

Projekttitel Englisch

Enhanced Anomaly Detection within Internal Combustion Engines

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung		-	-
Abstract		-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Deutsch)	Enhanced Anomaly Detection within Internal Combustion Engines
Kurzbeschreibung (Englisch)	Enhanced Anomaly Detection within Internal Combustion Engines
Abstract (Deutsch)	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 (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 .