Tribo-informatics approaches in tribology research: A review

N Yin, Z **ng, K He, Z Zhang - Friction, 2023 - Springer
Tribology research mainly focuses on the friction, wear, and lubrication between interacting
surfaces. With the continuous increase in the industrialization of human society, tribology …

A critical review of on-line oil wear debris particle detection sensors

W Han, X Mu, Y Liu, X Wang, W Li, C Bai… - Journal of Marine …, 2023 - mdpi.com
In the field of marine engineering, the friction and wear experienced by rotating mechanisms
are recognized as significant contributors to the failure of marine machinery. In order to …

Investigation of biodiesel and its blends fueled diesel engine: An evaluation of the comprehensive performance of diesel engines

Y Lv, Z Guo, X Rao, H Yin, H Hu, C Yuan - Renewable Energy, 2024 - Elsevier
The carbon-neutral era and the increasing demand for energy worldwide are imperative for
researching alternative energy. At the same time, biodiesel is considered one of the most …

Intelligent prediction of wear location and mechanism using image identification based on improved Faster R-CNN model

M Wang, L Yang, Z Zhao, Y Guo - Tribology International, 2022 - Elsevier
Exploring on-line wear status detection methods is of great significance to the intelligent
operation and health management of mechanical equipment. At present, it is common to use …

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 …

Brake uneven wear of high-speed train intelligent monitoring using an ensemble model based on multi-sensor feature fusion and deep learning

M Zhang, X Zhang, J Mo, Z **ang, P Zheng - Engineering Failure Analysis, 2022 - Elsevier
Uneven wear is an inevitable wear phenomenon in the braking system of high-speed trains.
To avoid the hidden dangers of the aggravation of uneven wear to the safe operation of …

A new target detection method of ferrography wear particle images based on ECAM-YOLOv5-BiFPN network

L He, H Wei, Q Wang - Sensors, 2023 - mdpi.com
For mechanical equipment, the wear particle in the lubrication system during equipment
operation can reflect the lubrication condition, wear mechanism, and severity of wear …

Intelligent classification of online wear particle in lubricating oil using optical direct imaging method and convolutional neural network for rotating machinery

Z Liu, H Zuo, F Bai, Y Liu, J Dhupia, JJ Jia, Z Chen - Tribology International, 2023 - Elsevier
Different types of wear particles in lubricating oil are crucial information sources for
describing wear properties of rotating machinery components. Solving the problem of …

An ultrasensitive microsensor based on impedance analysis for oil condition monitoring

H Shi, H Zhang, D Huo, S Yu, J Su, Y **e… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Oil condition monitoring is an important way to achieve mechanical equipment health
assessment, condition early warning, fault diagnosis, and intelligent maintenance. A …

[HTML][HTML] The target detection of wear particles in ferrographic images based on the improved YOLOv8

J Wong, H Wei, D Zhou, Z Cao - Lubricants, 2024 - mdpi.com
An enhanced YOLOv8 algorithm is proposed in the following paper to address challenging
issues encountered in ferrographic image target detection, such as the identification of …