Deep learning for a customised head-mounted fault display system for the maintenance of wind turbines-Reference-Cited by-同舟云学术

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Deep learning for a customised head-mounted fault display system for the maintenance of wind turbines

Published:2024-05-15 Issue: Volume: Page:
ISSN:
Container-title:2024 International Conference on Control, Automation and Diagnosis (ICCAD)
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Author:

Bouzidi Abdelaziz¹,Claeys Luka¹,Randrianandraina Raubertin²,Rajaoarisoa Lala²,Wannous Hazem¹,Sayed-Mouchaweh Moamar²

Affiliation:

1. University of Lille,CERI Digital System, IMT Nord Europe,Villeneuve D’Ascq,France,59650

2. University of Lille,CERI Digital System, IMT Nord Europe,Douai,France,59500

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553373/10553653/10553938.pdf?arnumber=10553938

Reference20 articles.

1. Deployment of a Smart and Predictive Maintenance System in an Industrial Case Study

2. Maintenance 4.0: Intelligent and Predictive Maintenance System Architecture

3. A Decison-Making Approach for Job Shop Scheduling with Job Depending Degradation and Predictive Maintenance

4. Anomaly Detection in Complex Real World Application Systems

5. A Modified DBSCAN Algorithm for Anomaly Detection in Time-series Data with Seasonality

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable Artificial Intelligence Approach for Improving Head-Mounted Fault Display Systems;Future Internet;2024-08-06

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