PrognoseBrain:
Entwicklung eines Systems zur Nutzung lernender, korrelativ und prognostisch interpretierender Algorithmen für das Condition Monitoring im produzierenden Mittelstand

Project Duration: 1.2.2014 to 31.7.2015 (Finished)
Area of Research: Industrial Communications : more projects
Project Manager: Prof. Dr. Oliver Niggemann , Prof. Dr. Jürgen Jasperneite


  

The aim of the project PrognoseBrain is to develop a condition monitoring system, with that the breakdown of systems can be avoided. This CMS provides the ability of faults prognosis, which enables the predective maintenances and reduces the breakdown risks of systems. In this project, a learning, correlative and prognostic interpretive algorithms for condition monitoring will be generalized and implemented with a slim hardware, which can be quickly and cost effectively used by small Enterprises.

The development of these promissing technologies requires the solution of the following problems:

  1. Handling of big data in real time.
  2. Universal applicability.
  3. Central Analysis of plants conditions in distributed systems.

Partner:

  • Resolto Informatik GmbH
  • Deutsche Windtechnik Service GmbH & Co. KG
  • Fraunhofer IOSB-INA
  • Hochschule Ostwestfalen-Lippe - inIT
  • Celant.Tel
Image: Entwicklung eines Systems zur Nutzung lernender, korrelativ und prognostisch interpretierender Algorithmen für das Condition Monitoring im produzierenden Mittelstand


Funded by: BMWi
Project Management: AiF Projekt GmbH
Grant ID: KF2448216KM3
Funding: ZiM
Contact Person: Dr.-Ing. Peng Li
Research Assistant: Dr.-Ing. Peng Li