Identification of Optimal Time Domain Features for Machine Learning based Fault Classification
Author:
Affiliation:
1. McMillen High School,Murphy,TX,USA
2. Texas A&M University-Commerce,Department of Computer Science and Information Systems,Commerce,TX,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10539858/10539859/10539910.pdf?arnumber=10539910
Reference9 articles.
1. Advances in Diagnostic Techniques for Induction Machines
2. Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
3. Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network
4. The Identification of Significant Time-Domain Features for Wink-Based EEG Signals
5. Association of Time Domain Features with Oral Cavity Configuration During Vowel Production and Its Application in Vowel Recognition
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