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Journal Articles

Stochastic Performance of Journal Bearing With Two-Layered Porous Bush—A Machine Learning Approach

Subrata Barman, Kritesh Kumar Gupta, Subrata Kushari, Sudip Dey
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. October 2023, 145(10): 104101.
Paper No: TRIB-22-1271
https://doi.org/10.1115/1.4062487
Published Online: May 25, 2023
View Article titled, Stochastic Performance of Journal Bearing With Two-Layered Porous Bush—A Machine Learning Approach
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Topics: Bearings, Journal bearings, Load bearing capacity, Machine learning, Pressure, Reynolds number, Leakage, Support vector machines, Simulation, Steady state
Includes: Supplementary data
Journal Articles

Surface Roughness Characterization and Inversion of Ultrasonic Grinding Parameters Based on Support Vector Machine

Yang Duo, Tang Jinyuan, Xia Fujia, Zhou Wei
Journal: Journal of Tribology
Publisher: ASME
Article Type: Technical Briefs
J. Tribol. September 2022, 144(9): 094501.
Paper No: TRIB-21-1548
https://doi.org/10.1115/1.4054234
Published Online: May 3, 2022
View Article titled, Surface Roughness Characterization and Inversion of Ultrasonic Grinding Parameters Based on Support Vector Machine
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Topics: Grinding, Support vector machines, Surface roughness
Journal Articles

Classification of Friction and Wear State of Wind Turbine Gearboxes Using Decision Tree and Random Forest Algorithms

Jinshan Pang, Yuming Chen, Shizhong He, Huihe Qiu, Chili Wu, Lingbo Mao
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. September 2021, 143(9): 091702.
Paper No: TRIB-20-1371
https://doi.org/10.1115/1.4049257
Published Online: January 8, 2021
View Article titled, Classification of Friction and Wear State of Wind Turbine Gearboxes Using Decision Tree and Random Forest Algorithms
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Topics: Adhesives, Algorithms, Cutting, Friction, Support vector machines, Wear, Wind turbines, Viscosity, Fatigue, Particulate matter