AI for tribology: Present and future

N Yin, P Yang, S Liu, S Pan, Z Zhang - Friction, 2024 - Springer
With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …

Remaining useful life prediction for bearing based on automatic feature combination extraction and residual multi-Head attention GRU network

J He, X Zhang, X Zhang, J Shen - Measurement Science and …, 2023 - iopscience.iop.org
Rolling bearings are indispensable parts in mechanical equipment, and predicting their
remaining useful life is critical to normal operation and keep equipment in good repair …

Health monitoring of CNC machining processes using machine learning and wavelet packet transform

A Hussain, TAM Janjua, AN Malik, A Najib… - Mechanical Systems and …, 2024 - Elsevier
Monitoring the health of a machining process plays a crucial role in advancing fully
automated manufacturing. Faulty machining processes (abnormal process) leads to part …

Real-time tool condition monitoring with the internet of things and machine learning algorithms

T Mohanraj, R Sai Bharath - International Journal of Computer …, 2024 - Taylor & Francis
ABSTRACT Machine Learning and the Internet of Things (IoT) has an essential role in
machine health monitoring and maintenance. An intelligent system that can predict the tool …

An Exploration of the Influence of Abrasive Water Jet Pressure on the Friction Signal Characteristics of Fixed Abrasive Lapping Quartz Glass Based on HHT

Y Zheng, Z Zhang, Z Wang, M Pang, L Ma, J Su - Micromachines, 2023 - mdpi.com
Abrasive water jetting is an effective dressing method for a fixed abrasive pad (FAP) and can
improve FAP machining efficiency and the impact of abrasive water jet (AWJ) pressure on …

Wavelet and Hilbert Huang Transforms Applied to Park's Vector for Fault Detection in a PMSG Wind Turbine

RA Ortiz-Medina, M Sanabria-Villamizar… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
This article is a novel technique for the maintenance of machines, specifically in wind
turbines. The technique proposes a fault detection method, identifying the pattern …

Short-Term Air Traffic Flow Prediction Based on CEEMD-LSTM of Bayesian Optimization and Differential Processing

R Zhou, S Qiu, M Li, S Meng, Q Zhang - Electronics, 2024 - mdpi.com
With the rapid development of China's civil aviation, the flow of air traffic in terminal areas is
also increasing. Short-term air traffic flow prediction is of great significance for the accurate …

Power System Dominant Oscillation Mode Analysis Based on Multivariate Empirical Mode Decomposition

Y Zuo, X Wang, B Zhang - 2023 3rd International Conference …, 2023 - ieeexplore.ieee.org
The oscillation phenomenon of power system has always been one of the main factors
threatening the stable and safe operation of power grid. If the oscillation phenomenon is not …