The Prediction of Wear Depth Based on Machine Learning Algorithms

The Prediction of Wear Depth Based on Machine Learning Algorithms

In this work, ball-on-disk wear experiments were carried out on different wear parameters such as sliding speed, sliding distance, normal load, temperature, and oil film thickness. In total, 81 different sets of wear depth data were obtained. Four different machine learning (ML) algorithms, namely R...

Full description

Bibliographic Details
Main Authors: Chenrui Zhu, Lei Jin, Weidong Li, Sheng Han, Jincan Yan
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Lubricants
Subjects:
ML
wear depth prediction
XGB
RF
SVM
KNN
Online Access:https://www.mdpi.com/2075-4442/12/2/34

Similar Items

Similar Items