Braking Friction Coefficient Prediction Using PSO–GRU Algorithm Based on Braking Dynamometer Testing

Wang, S., Yu, Y., Liu, S. et al. (1 more author) (2024) Braking Friction Coefficient Prediction Using PSO–GRU Algorithm Based on Braking Dynamometer Testing. Lubricants, 12 (6). 195. ISSN 2075-4442

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Item Type: Article
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: friction; machine learning; RNN; optimization; PSO; disk brake
Dates:
  • Published: June 2024
  • Published (online): 29 May 2024
  • Accepted: 27 May 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 Jul 2024 11:38
Last Modified: 29 Jul 2024 11:38
Status: Published
Publisher: MDPI
Identification Number: 10.3390/lubricants12060195
Open Archives Initiative ID (OAI ID):

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