AI Based Predictive Maintenance as a Key Enabler for Circular Economy: The KYKLOS 4.0 Approach-Reference-Cited by-同舟云学术

AI Based Predictive Maintenance as a Key Enabler for Circular Economy: The KYKLOS 4.0 Approach

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
language:
Short-container-title:

Author:

Rebahi Yacine¹,Hilliger Benjamin¹,Lowin Patrick¹,Cardoso Alberto²

Affiliation:

1. Fraunhofer Fokus,Berlin,Germany

2. University of Coimbra,CISUC,Dep of Informatics Engineering,Coimbra,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256660/10257181/10257227.pdf?arnumber=10257227

Reference13 articles.

1. Technical Components Integration using APIs for Predictive Maintenance in the context of Industry 4.0 Digital Transformation;cardoso;Proc of the 20th International Conference on Remote Engineering and Virtual Instrumentation (REV2023) & International Edunet World Conference (IEWC 2023),2023

2. Deep Learning Based Anomaly Detection For Predictive Maintenance;hilliger;the Proc of the Automation Robotics and Communications for Industry 4 0/5 0 3rd IFSA Winter Conference,2023

3. Unsupervised Online Anomaly Detection on Multivariate Sensing Time Series Data for Smart Manufacturing;ruei-jie;2019 IEEE 12th Conference on Service-Oriented Computing and Applications (SOCA),2019

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. Management of obsolescence during the maintenance phase in a circular economy context: state-of-the-art;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15