PM4MDPTS: Predicitve Maintenance for Mill Drive Power Train Systems

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Projektnummer

25799.2 PFIW-IW

Projekttitel

PM4MDPTS: Predicitve Maintenance for Mill Drive Power Train Systems

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	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung		-	-	-
Abstract		-	-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Deutsch)	PM4MDPTS: Predicitve Maintenance for Mill Drive Power Train Systems
Abstract (Deutsch)	The main goal in this project is to develop a remote diagnostic service product line to enable advanced predictive maintenance for preventing unscheduled stops for machines in the grinding market. The industrial partner has worldwide more than 250 large grinding mills placed in the power range up to 32 Mega Watt. Unexpected downtime is extremly expensive and all measures have to be taken to reduce such losts. A possible approach is the use of Deep Learning from CSEM.

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Text

Kurzbeschreibung
(Deutsch)

PM4MDPTS: Predicitve Maintenance for Mill Drive Power Train Systems

Abstract
(Deutsch)

The main goal in this project is to develop a remote diagnostic service product line to enable advanced predictive maintenance for preventing unscheduled stops for machines in the grinding market. The industrial partner has worldwide more than 250 large grinding mills placed in the power range up to 32 Mega Watt. Unexpected downtime is extremly expensive and all measures have to be taken to reduce such losts. A possible approach is the use of Deep Learning from CSEM.