Tribo-informatics approaches in tribology research: A review
Tribology research mainly focuses on the friction, wear, and lubrication between interacting
surfaces. With the continuous increase in the industrialization of human society, tribology …
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 …
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 …
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
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 …
operation and health management of mechanical equipment. At present, it is common to use …
AI for tribology: Present and future
With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …
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
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 …
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 …
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
Different types of wear particles in lubricating oil are crucial information sources for
describing wear properties of rotating machinery components. Solving the problem of …
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 …
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 …
issues encountered in ferrographic image target detection, such as the identification of …