TY  - GEN
A1  - Fuhs, Gregor
T1  - Proactive Fault Management by Big Data Usage
KW  - Störungsmangement
KW  - Big Data
Y1  - 2024
UR  - https://epub.fir.de/frontdoor/index/index/docId/3496
N1  - BigPro: Big-Data and event-based adjustment for the configuration of resilient production systems

Project goal is the development of a Big Data platform including algorithms for data pattern detection to implement a proactivce disturbance management system in the production. Human data is considered as an additional data source. The disturbance management is further supported by an visualization of the disturbances and respective counteractions.

Duration: 01.09.2014 – 30.11.2017
Funding no.: 01IS14011
Funding: Bundesministerium für Bildung und Forschung (BMBF)
Promoters: DLR Projektträger

Project partners:
    Asseco Solutions AG, Karlsruhe
    AUTO HEINEN GmbH, Bad Münstereifel
    cognesys gmbh, Aachen
    DFA Demonstrationsfabrik Aachen GmbH, Aachen
    EICe Aachen GmbH, Aachen
    EML European Media Laboratory GmbH, Heidelberg
    FZI Forschungszentrum Informatik am Karlsruher Institut für Technologie, Karlsruhe
    i2solutions GmbH, Stolberg
    Robert Bosch GmbH, Gerlingen-Schillerhöhe
    Software AG, Darmstadt
    Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen
PB  - FIR e. V. an der RWTH Aachen
CY  - Aachen
ER  -