Current trends and applications of machine learning in tribology—A review

M Marian, S Tremmel - Lubricants, 2021 - mdpi.com
Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …

The role of machine learning in tribology: A systematic review

UMR Paturi, ST Palakurthy, NS Reddy - Archives of Computational …, 2023 - Springer
The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring
mathematical algorithm that accurately simulates many engineering processes. Machine …

Intelligent friction compensation: A review

S Huang, W Liang, KK Tan - IEEE/Asme Transactions On …, 2019 - ieeexplore.ieee.org
High-precision motion control is highly desirable in process and industrial automation,
including the domains of machine tools, ultra-precision spindles, micro-manufacturing …

Friction modeling and compensation for haptic master manipulator based on deep Gaussian process

A Dong, Z Du, Z Yan - Mechanism and Machine Theory, 2021 - Elsevier
This paper investigates friction modeling and compensation for haptic master manipulator
used in robot-assisted minimally invasive surgical system. Friction modeling and …

Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution

IB Tijani, R Akmeliawati, A Legowo… - Engineering Applications of …, 2014 - Elsevier
The need for a high fidelity model for design, analysis and implementation of an unmanned
helicopter system (UHS) in various emerging civil applications cannot be underestimated …

[PDF][PDF] Current Trends and Applications of Machine Learning in Tribology–A Review. Lubricants 2021, 9, 86

M Marian, S Tremmel - Machine Learning in Tribology, 2021 - opus4.kobv.de
Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …

Quadrant glitch compensation by a modified disturbance observer for linear motor stages

T Ohashi, H Shibata, S Futami, R Sato - Precision Engineering, 2019 - Elsevier
In this paper, we propose to develop a novel disturbance force compensator to effectively
suppress quadrant glitches in a feed drive system using a linear motor and linear motion ball …

A case study of SOS-SVR model for PCB throughput estimation in SMT production lines

D Li, L Wang, Q Huang - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
This paper presents a symbiotic organism search (SOS) algorithm based support vector
regression (SVR) model for predicting the production throughput in a high-mix and low …

Robust control of the A-axis with friction variation and parameters uncertainty in five-axis CNC machine tools

P Zhao, Y Shi - Proceedings of the Institution of Mechanical …, 2014 - journals.sagepub.com
A-axis is an essential assembly in the five-axis CNC machine tools, and its positioning
precision directly affects the machining accuracy and surface quality of the parts …

Black box modeling of PIDs implemented in PLCs without structural information: a support vector regression approach

R Salat, M Awtoniuk - Neural Computing and Applications, 2015 - Springer
In this report, the parameters identification of a proportional–integral–derivative (PID)
algorithm implemented in a programmable logic controller (PLC) using support vector …