Machine learning based bearing fault diagnosis using the case western reserve university data: A review
X Zhang, B Zhao, Y Lin - Ieee Access, 2021 - ieeexplore.ieee.org
The most important parts of rotating machinery are the rolling bearings. Finding bearing
faults in time can avoid affecting the operation of the entire equipment. The data-driven fault …
faults in time can avoid affecting the operation of the entire equipment. The data-driven fault …
A Current Noise Cancellation Method Based on Fractional Linear Prediction for Bearing Fault Detection
K Xu, X Song - Sensors, 2023 - mdpi.com
The stator current in an induction motor contains a large amount of information, which is
unrelated to bearing faults. This information is considered as the noise component for the …
unrelated to bearing faults. This information is considered as the noise component for the …
Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss …
This paper presents a comprehensive analysis of motor bearing fault detection (MBFD),
which involves the task of identifying faults in a motor bearing based on its vibration. To this …
which involves the task of identifying faults in a motor bearing based on its vibration. To this …
Rolling bearing fault diagnosis based on SVM optimized with adaptive quantum DE algorithm
In order to optimize traditional fault diagnosis models for practical applications, a fault
diagnosis model based on support vector machines optimized with the adaptive quantum …
diagnosis model based on support vector machines optimized with the adaptive quantum …
A fault diagnosis method of rolling element bearing based on improved PSO and BP neural network
X Song, H Wang, Y Liu, Z Wang… - Journal of Intelligent & …, 2022 - content.iospress.com
Aiming at the inherent defects of BP neural network in the field of rolling bearing fault
diagnosis, based on the optimization of particle swarm optimization algorithm, this paper …
diagnosis, based on the optimization of particle swarm optimization algorithm, this paper …
Fault identification of rolling bearing based on improved salp swarm algorithm
H Chen, M Zhang, F Liu, Z Chen - Intelligent Data Analysis, 2024 - content.iospress.com
Due to the rapid development of industrial manufacturing technology, modern mechanical
equipment involves complex operating conditions and structural characteristics of hardware …
equipment involves complex operating conditions and structural characteristics of hardware …