AI-Driven Digital Process Twin via Networked Digital Process Chain-Reference-Cited by-同舟云学术

AI-Driven Digital Process Twin via Networked Digital Process Chain

Published:2022-09-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

Huang Ziqi¹,Xi Tiandong¹,Fey Marcel¹,Brecher Christian¹

Affiliation:

1. Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University,Chair of Machine Tools,Aachen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9927523/9927699/09928016.pdf?arnumber=9928016

Reference20 articles.

1. Feeling Machine for Process Monitoring of Components with Stock Allowance

2. Integration of virtual and on-line machining process control and monitoring

3. Reconstruction of Process Forces in a Five-Axis Milling Center with a LSTM Neural Network in Comparison to a Model-Based Approach

4. A scalable, hybrid learning approach to process-parallel estimation of cutting forces in milling applications;königs;Robert Schmitt Günther Schuh (Publ ),2017

5. Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems

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