
Artificial Intelligence in Automation
PrognoseBrain: Entwicklung eines Systems zur Nutzung lernender, korrelativ und prognostisch interpretierender Algorithmen für das Condition Monitoring im produzierenden Mittelstand
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:
- Handling of big data in real time.
- Universal applicability.
- Central Analysis of plants conditions in distributed systems.
This project is promoted by:
Bundesministerium für Wirtschaft und Energie (BMWi)
Sponsors:
AiF Projekt GmbH
Funding Code: KF2448216KM3
Funding Lines:
Zentrales Innovationsprogram Mittelstand (ZIM)
Stakeholders / Contacts:
Dr.-Ing. Peng Li
Employees:
Dr.-Ing. Peng Li
Data Driven Condition Monitoring of Wind Power Plants Using Cluster Analysis
In: 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC 2015), Sep 2015
Promoted by

Projektträger
AiF Projekt GmbH