M Sadoughi, C Hu - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
During the past few years, deep learning has been recognized as a useful tool in condition monitoring and fault detection of rolling element bearings. Although existing deep learning …
Growing demand for raw materials forces mining companies to reach deeper deposits. Difficult environmental conditions, especially high temperature and the presence of …
Induction motors, which are widely used in industrial applications, are indispensable tools of the industry. Induction motors work in almost every part of the industry, such as production …
N Rajapaksha, S Jayasinghe, H Enshaei… - 2021 IEEE Southern …, 2021 - ieeexplore.ieee.org
The most common Induction Motor (IM) faults discussed in literature are of three types, namely, bearing faults, stator faults, and rotor faults. These faults often result in unexpected …
Faults in the ball bearing are a major cause of failure in rotating machinery where ball bearings are used. Therefore, there is a growing demand for ball bearing fault diagnosis to …
W Fu, J Tan, C Li, Z Zou, Q Li, T Chen - Entropy, 2018 - mdpi.com
As crucial equipment during industrial manufacture, the health status of rotating machinery affects the production efficiency and device safety. Hence, it is of great significance to …
Rotating machineries often work under severe and variable operation conditions, which brings challenges to fault diagnosis. To deal with this challenge, this paper discusses the …
Asynchronous machines are essential components that drive critical systems across industrial, trading, and residential sectors, powering heating units, pumps, and various …
D Colbourne, AL Vonsild - International Journal of Refrigeration, 2023 - Elsevier
There is a growing need for cost-effective leak detection in smaller RACHP equipment that uses R290 and other flammable hydrocarbon refrigerants. Gas detection technology may …