TY  - CONF
A1  - Strack, Bernhard
A1  - Holst, Lennard
A1  - Defèr, Florian
A1  - Stich, Volker
A1  - Wehner, Kira
A1  - Gülyaz, Melis
A2  - Herberger, David
A2  - Hübner, Marco
T1  - Development of a Learning Game for the Implementation of Maintenance & Reliability Systems for Onshore Wind Parks
T2  - Proceedings of the Conference on Production Systems and Logistics: CPSL 2022
N2  - In Germany’s transition to a more sustainable industrial landscape, electricity generated by wind turbines (WT) remains a mainstay of the energy mix. Operating and maintenance costs, which account for roughly 25% of electricity generation costs in onshore WTs make improvements of maintenance activities a key lever in the economic operation of WTs. Prescriptive maintenance is a possible approach for improved maintenance activities. It is a concept where asset condition data is used to recommend specific actions and has great potential for the operation of wind parks. However, especially small, but also large wind park operators, and maintenance service providers often struggle with the implementation of such a new maintenance approach. As a part of the research project ReStroK, a learning game has been developed to support the training and familiarization of maintenance technicians with the concepts and underlying principles of this maintenance approach. In this paper, the concept for the development of a learning game will be presented. Multiple scenarios for its usage and their corresponding requirements will be discussed and an overview over the game will be given.
KW  - Prescriptive Maintenance
KW  - Learning Game
KW  - Reliability
KW  - Asset Management
KW  - Training
KW  - rev
Y1  - 2022
UR  - https://epub.fir.de/frontdoor/index/index/docId/1182
UR  - https://www.repo.uni-hannover.de/handle/123456789/12220
SP  - 339
EP  - 348
PB  - publish-Ing.
CY  - Hannover
ER  -