Introduction of an industrial transfer learning use case systematization for machine tools-Reference-Cited by-同舟云学术

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Introduction of an industrial transfer learning use case systematization for machine tools

Published:2023 Issue: Volume:120 Page:398-403
ISSN:2212-8271
Container-title:Procedia CIRP
language:en
Short-container-title:Procedia CIRP

Author:

Netzer Dr.-Ing. Markus,Michelberger Jonas,Puchta Alexander,Verl Prof. Dr.-Ing. Alexander,Fleischer Prof. Dr.-Ing. Jürgen

Funder

Federal Ministry of Education Science Research and Technology Berlin Office

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Reference33 articles.

1. Extended kernel density estimation for anomaly detection in streaming data;Rosenberger;Procedia CIRP,2022

2. Domain adaptive transfer learning for fault diagnosis;Wang,2019

3. Self-organizing maps for anomaly localization and predictive maintenance in cyber-physical production systems;Von Birgelen;Procedia cirp,2018

4. Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer;Michau;Knowledge-Based Systems,2021

5. The cost of machine learning projects;Incze;Cognifeed,2019

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