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Online Uncertainty Analysis of Aircraft Disc Brake Pad Wear Considering Thermo-Mechanical Coupling

  • Bo Sun
  • , Leyang Zhou
  • , Zeyu Wu*
  • , Junlin Pan
  • , Jiankun Xu
  • , Tongshu Lin
  • , Zechen Yi
  • *Corresponding author for this work
  • Science & Technology on Reliability & Environmental Engineering Laboratory
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The real-time wear uncertainty analysis of brake pads is crucial for the braking safety of aircraft. This paper investigates the wear failure of brake pads under thermo-mechanical coupled effects. By considering material degradation and geometric changes of the brake pads during the braking process, a dynamic finite element simulation model is constructed, revealing the dynamic characteristics of brake pad wear degradation. Combining this with a long short-term memory (LSTM) neural network as a surrogate model, the wear amount of brake pads is predicted in real-time. Additionally, the prediction uncertainty caused by sensor error is quantified. Finally, the study monitors a complete braking process of aircraft disc brake pads using a brake pad test bench and conducts simulations and evaluations. The research methodology of this paper, while ensuring accuracy, achieves real-time wear uncertainty analysis of brake pads, providing a theoretical basis for aircraft maintenance and support.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 13
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages432-444
Number of pages13
ISBN (Print)9789819622474
DOIs
StatePublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1349 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • Finite Element Simulation
  • LSTM
  • Wear Degradation
  • Wear Uncertainty Analysis

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