A functional data-driven method for modeling degradation of waxy lubrication layer

Wenda Kang, Shixiang Li, Yubin Tian, Ying Yin*, Heliang Sui, Dianpeng Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Wax is a prevalent lubrication material extensively employed in various engineering applications. Understanding the degradation characteristics of the waxy lubrication layer under diverse stress variables and levels is crucial for ensuring system security and reliability. Due to the unclear mechanism governing the degradation of the waxy lubrication layer under different stress variables, existing degradation models are unsuitable for modeling waxy lubrication layer degradation data. To address this challenge, we propose a functional data-driven method leveraging dense observations of waxy degradation. Through extensive simulations and a case study, we demonstrate the superior performance and effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)3751-3773
Number of pages23
JournalQuality and Reliability Engineering International
Volume40
Issue number7
DOIs
Publication statusPublished - Nov 2024

Keywords

  • creep
  • functional data analysis
  • two stress variables degradation
  • waxy lubrication layer

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