An efficient method for bearing fault diagnosis
Author:
Affiliation:
1. School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2329264
Reference34 articles.
1. IEEE Transactions on Systems, Man, and Cybernetics: Systems
2. Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
3. Intelligent bearing faults diagnosis featuring Automated Relative Energy based Empirical Mode Decomposition and novel Cepstral Autoregressive features
4. Rolling bearing fault diagnosis and health assessment using EEMD and the adjustment Mahalanobis–Taguchi system
5. Resonance Detection Method and Realization of Bearing Fault Signal Based on Kalman Filter and Spectrum Analysis
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1. Research on ACMD-ICYCBD method for rolling bearing fault feature extraction;Journal of Vibroengineering;2024-09-08
2. Real-time detection of bearing faults through a hybrid WTMP analysis of frequency-related states;International Journal of Dynamics and Control;2024-07-06
3. Comparative performance analysis of different types of k-nearest neighbor (k-NN) classifiers for fault diagnosis of air compressor setup;Engineering Research Express;2024-06-01
4. A Novel Method for Bearing Fault Diagnosis Based on a Parallel Deep Convolutional Neural Network;Symmetry;2024-04-04
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