Multisignal Joint HVCB Fault Diagnosis Research Based on Adaptive Framing MFCC Feature Extraction Method
Author:
Affiliation:
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
2. Energy Storage Technology Engineering Research Center, North China University of Technology, Beijing, China
Funder
National Natural Science Foundation of China
Beijing Natural Science Foundation
China Postdoctoral Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10316685/10287262.pdf?arnumber=10287262
Reference37 articles.
1. Fault Analysis of High-Voltage Circuit Breakers Based on Coil Current and Contact Travel Waveforms Through Modified SVM Classifier
2. Feature Extraction Using Parameterized Multisynchrosqueezing Transform
3. On-line hybrid fault diagnosis method for high voltage circuit breaker
4. Feature Extraction for Data-Driven Remaining Useful Life Prediction of Rolling Bearings
5. Mechanical Faults Diagnosis of HVCB Based on Auditory Features and Sparse Representation Classification
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