itsowl-TT-IDAHO:
Identifikation von Betriebszuständen und vorbeugende Wartung von Hochdruckpumpen

Project Duration: 1.8.2015 to 30.6.2016 (Finished)
Area of Research:
Project Manager: Prof. Dr. Oliver Niggemann
Projectlogo:Identifikation von Betriebszuständen und vorbeugende Wartung von Hochdruckpumpen


  

The aim of this project is the implementation of an intelligent assistance system for the automated monitoring of high-pressure pumps used for waterjet cutting.


The assistance system has features for the automatic learning of behavior models of the high-pressure pump, an intelligent counting system for the operating hours of individual pump components (e.g. piston or sealing heads) and it also includes forecasting capabilities for the purpose of a preventive maintenance plan for high-pressure pumps.


For this, existing learning methods developed in the Spitzencluster Querschnittsprojekt „Energieeffizienz“ are used and will be integrated into the commercial remote control software owned by symmedia GmbH. This will lead to a visible benefit (e.g. increased machine availability due to predicted maintenance) for the operator of the high-pressure system.


symmedia GmbH

Image: Identifikation von Betriebszuständen und vorbeugende Wartung von HochdruckpumpenImage: Identifikation von Betriebszuständen und vorbeugende Wartung von Hochdruckpumpen


Funded by: BMBF
Project Management: Karlsruhe Produktion und Fertigungstechnologien (PTKA-PFT)
Grant ID: 02PQ3062
Funding: Spitzencluster it's OWL - Intelligente Technische Systeme Ostwestfalen-Lippe
Contact Person: M.Sc. Johann Badinger , B. Sc. Andre Mankowski
Research Assistant: M.Sc. Johann Badinger , B. Sc. Andre Mankowski