K Gao, Z Wu, C Yu, M Li, S Liu - Applied Sciences, 2023 - mdpi.com
A rolling bearing is a complex system consisting of the inner race, outer race, rolling element, etc. The interaction of components may lead to composite faults. Selecting the …
J Yu, Y Xu, G Yu, L Liu - Proceedings of the Institution of …, 2019 - journals.sagepub.com
In order to address the problem that redundant condition attribute nodes and poor reasoning ability of flow graph may lead to high computational burden and low diagnosis accuracy, a …
L Deng, Y Zhang, C Zhao, G Wang - Measurement Science and …, 2024 - iopscience.iop.org
Rolling bearing faults inevitably occur during the long-term continuous operation of rotating machinery. Therefore, fault diagnosis is greatly important for ensuring the normal and safe …
X Ding, J Wang, H Wu, J Xu, M Xin - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Recent advancements in data-driven deep-learning methods have significantly improved rolling bearing fault diagnosis. However, these frameworks face limitations due to data …
S Liu, X Yu, X Qian, F Dong - Shock and Vibration, 2020 - Wiley Online Library
In real industrial scenarios, the working conditions of bearings are variable, and it is therefore difficult for data‐driven diagnosis methods based on conventional machine …
C Wang, J Nie, P Yin, J Xu, S Yu, X Ding - Mechanical Systems and Signal …, 2024 - Elsevier
Fault diagnosis technology can effectively prevent the occurrence of faults and reduce safety hazards, which is of great significance in nuclear power, aerospace, manufacturing, and …
Deep learning, due to its excellent feature-adaptive capture ability, has been widely utilized in the fault diagnosis field. However, there are two common problems in deep-learning …
B Wang, Y Ning, Y Zhang - Measurement Science and …, 2021 - iopscience.iop.org
Benefitting from the rapid development of artificial intelligence, the end-to-end fault diagnosis mode based on deep learning has become one of the most potential research …
MR Santos, A Guedes, I Sanchez-Gendriz - Machine Learning and …, 2024 - mdpi.com
This study introduces an efficient methodology for addressing fault detection, classification, and severity estimation in rolling element bearings. The methodology is structured into three …