DBF-CNN: A Double-Branch Fusion Residual CNN for Diagnosis of Induction Motor Broken Rotor Bar
Author:
Affiliation:
1. China Nuclear Power Engineering Company Ltd., Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10288263.pdf?arnumber=10288263
Reference33 articles.
1. Fault Diagnosis of Electric Two-Wheeler Under Pragmatic Operating Conditions Using Wavelet Synchrosqueezing Transform and CNN
2. Harmonic Order Tracking Analysis: A Novel Method for Fault Diagnosis in Induction Machines
3. Experimental Investigation of Rotor Currents Distribution in the Healthy and Faulty Cage of Induction Motors at Standstill
4. Performance Analysis of Squirrel-Cage Induction Motors Under Broken Rotor Bar and Stator Inter-Turn Fault Conditions Using Analytical Modeling
5. Attention Recurrent Neural Network-Based Severity Estimation Method for Interturn Short-Circuit Fault in Permanent Magnet Synchronous Machines
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2. Unknown PD distinction in HVAC/HVDC by antenna-sensor with pulse sequence analysis;Alexandria Engineering Journal;2024-03
3. Detection of incipient rotor unbalance fault based on the RIME-VMD and modified-WKN;Scientific Reports;2024-02-26
4. Multi-sensory Fault Diagnosis of Broken Rotor Bars Using Transfer Learning;Lecture Notes in Networks and Systems;2024
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