[HTML][HTML] A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges …
Rolling bearing fault detection is critical for improving production efficiency and lowering
accident rates in complicated mechanical systems, as well as huge monitoring data, posing …
accident rates in complicated mechanical systems, as well as huge monitoring data, posing …
Development of intelligent fault-tolerant control systems with machine learning, deep learning, and transfer learning algorithms: a review
Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
Fault diagnosis of electric impact drills using thermal imaging
A Glowacz - Measurement, 2021 - Elsevier
Fault diagnosis enables to make savings related to maintenance. The presented work
describes fault diagnosis method based on analysis of thermal images. An original method …
describes fault diagnosis method based on analysis of thermal images. An original method …
A review of data-driven machinery fault diagnosis using machine learning algorithms
J Cen, Z Yang, X Liu, J **ong, H Chen - Journal of Vibration Engineering & …, 2022 - Springer
Purpose This article aims to systematically review the recent research advances in data-
driven machinery fault diagnosis based on machine learning algorithms, and provide …
driven machinery fault diagnosis based on machine learning algorithms, and provide …
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process
X Yan, D She, Y Xu, M Jia - Knowledge-Based Systems, 2021 - Elsevier
The performance of complex rotor–bearing system usually decreases with the development
of the running time, which indicates that the rotor–bearing system usually goes through …
of the running time, which indicates that the rotor–bearing system usually goes through …
[HTML][HTML] Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
M Huang, Z Liu, Y Tao - Simulation Modelling Practice and Theory, 2020 - Elsevier
Using multi-source sensing data based on the Internet of Things (IoT) with artificial
intelligence and big data processing technology to achieve predictive maintenance of …
intelligence and big data processing technology to achieve predictive maintenance of …
Bearing fault diagnosis method based on attention mechanism and multilayer fusion network
X Li, S Wan, S Liu, Y Zhang, J Hong, D Wang - ISA transactions, 2022 - Elsevier
The methods with multi-sensor data fusion have been a remarkable way to improve the
accuracy and robustness of bearing fault diagnosis under complicated conditions. However …
accuracy and robustness of bearing fault diagnosis under complicated conditions. However …
A survey on fault diagnosis of rolling bearings
The failure of a rolling bearing may cause the shutdown of mechanical equipment and even
induce catastrophic accidents, resulting in tremendous economic losses and a severely …
induce catastrophic accidents, resulting in tremendous economic losses and a severely …
An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization
Bearing is regarded as one of the core elements in rotating machines and its fault diagnosis
is essential for better reliability and availability of the rotating machines. This paper puts …
is essential for better reliability and availability of the rotating machines. This paper puts …
The bearing faults detection methods for electrical machines—the state of the art
Electrical machines are prone to faults and failures and demand incessant monitoring for
their confined and reliable operations. A failure in electrical machines may cause …
their confined and reliable operations. A failure in electrical machines may cause …