Understanding IFRA for Detecting Synchronous Machine Winding Short Circuit Faults Based on Image Classification and Smooth Grad-CAM++
Author:
Affiliation:
1. College of Engineering and Technology, Southwest University, Chongqing, China
2. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China
Funder
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
Venture and Innovation Support Program for Chongqing Overseas Returnees
Natural Science Foundation of Chongqing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10032973/09989429.pdf?arnumber=9989429
Reference33 articles.
1. A New Interpretation of FRA Results by Sensitivity Analysis Method of Two FRA Measurement Connection Ways
2. Equivalent Broadband Electrical Circuit of Synchronous Machine Winding for Frequency Response Analysis Based on Gray Box Model
3. Accurate Estimating Algorithm of Transfer Function for Transformer FRA Diagnosis
4. A New Transformer FRA Measurement Technique to Reach Smart Interpretation for Inter-Disk Faults
5. Open-Circuit Fault Detection in Stranded PMSM Windings Using Embedded FBG Thermal Sensors
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