An Intelligent System for Bearing Fault Diagnosis of Induction Motor using Wavelet Transform Based Deep Learning Framework
Author:
Affiliation:
1. Meghnad Saha Institute of Technology,Department of Electrical Engineering,Kolkata 700150,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10077526/10077615/10077681.pdf?arnumber=10077681
Reference29 articles.
1. A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion
2. Residential Appliance Identification Using 1-D Convolutional Neural Network Based on Multiscale Sinusoidal Initializers
3. Diagnosis of Stator Winding Fault of Single-Phase Induction Motor Employing Wavelet Induced Residual-Convolutional Neural Network
4. Fault Diagnosing Of An Induction Motor Based On Signal Fusion Using One-Dimensional Convolutional Neural Network
5. Accurate Detection of Bearing Faults Using Difference Visibility Graph and Bi-Directional Long Short-Term Memory Network Classifier
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An Explainable Deep Learning Approach for EEG- Induced Motor Imagery Classification;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14
2. A Deep Learning Framework for Noise Elimination of Partial Discharge Signals;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29
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