System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants-Reference-Cited by-同舟云学术

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System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants

Published:2014-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)
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Author:

Kroll Bjorn,Schaffranek David,Schriegel Sebastian,Niggemann Oliver

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6994138/7005023/07005202.pdf?arnumber=7005202

Cited by 23 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. Toward Proactive Maintenance: A Multi-Tiered Architecture for Industrial Equipment Health Monitoring and Remaining Useful Life Prediction;International Journal of Software Engineering and Knowledge Engineering;2024-08-30

2. Maintenance planning optimization through equipment performance prediction using machine learning based on inline instrument datasets—a surface condenser case study;Machine Intelligence in Mechanical Engineering;2024

3. AI-powered health monitoring of anode baking furnace pits in aluminum production using autonomous drones;Engineering Applications of Artificial Intelligence;2023-06

4. Real-time anomaly detection system within the scope of smart factories;The Journal of Supercomputing;2023-04-09

5. Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets;Sensors;2023-01-02

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