Current trends and applications of machine learning in tribology—A review
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 …
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …
The role of machine learning in tribology: A systematic review
The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring
mathematical algorithm that accurately simulates many engineering processes. Machine …
mathematical algorithm that accurately simulates many engineering processes. Machine …
Intelligent friction compensation: A review
High-precision motion control is highly desirable in process and industrial automation,
including the domains of machine tools, ultra-precision spindles, micro-manufacturing …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
algorithm implemented in a programmable logic controller (PLC) using support vector …