LSTM RNN in support of Manufacturing Simulation-based Digital Twin; A Case from Offshore Wind Turbine Production
Author:
Affiliation:
1. Systems Siemens Gamesa Renewable Energy,Dept. of Manufacturing Excellence,Brande,Denmark
2. Norwegian University of Science and Technology,Dept. of Ocean Operations & Civil Engineering,Ålesund,Norway
Funder
Siemens
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10620912/10620920/10620933.pdf?arnumber=10620933
Reference10 articles.
1. Digital Twin For Agile Manufacturing: Challenges From The Offshore Wind Turbine Industry
2. Machine learning in agile manufacturing; a usecase from offshore wind turbine product lifecycle management system;Nickpasand
3. Long Short-Term Memory
4. Predicting Wind Power Generation Using Hybrid Deep Learning With Optimization
5. Ilities for Responsive Manufacturing: A Case from Offshore Wind Turbine Manufacturing
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