Semi-physical neural network model for fretting wear estimation-Reference-Cited by-同舟云学术

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Semi-physical neural network model for fretting wear estimation

Published:2015 Issue:4 Volume:28 Page:1745-1753
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
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Author:

Haviez Laura¹,Toscano Rosario²,El Youssef Mohamad²,Fouvry Siegfried¹,Yantio Ghislain³,Moreau Gilles³

Affiliation:

1. Université de Lyon, Laboratoire de Tribologie et de Dynamique des Systèmes CNRS UMR5513 ECL, 36 avenue Guy de Collongue, Ecully, France

2. Université de Lyon, Laboratoire de Tribologie et de Dynamique des Systèmes CNRS UMR5513 ECL/ENISE, 58 rue Jean Parot Saint-Etienne, France

3. SAGEM Défense Sécurité, BP 72, 72-74 rue de la Tour Billy Argenteuil, France

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Cited by 14 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. TRIBOLOGY INTERFACE OVER DIGITAL TECHNOLOGIES AND ENVISAGING TRIBOLOGY WITH PATENT LANDSCAPE — A QUEER REVIEW;Surface Review and Letters;2024-02-09

2. Prediction of ball-on-plate friction and wear by ANN with data-driven optimization;Friction;2024-01-10

3. Physics-Informed Machine Learning—An Emerging Trend in Tribology;Lubricants;2023-10-30

4. Experimental Study of Slurry Erosion of Ni-Hard Cast Iron and Prediction of Wear of Materials with the Use of Artificial Neural Network (ANN);Metal Science and Heat Treatment;2023-09

5. Time-delay neural network modeling of the running-in wear process;Tribology International;2023-02

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