Recognizing Commutator Motors Fault from Acoustics Signals Using Bayesian Functional Data Depth
Author:
Affiliation:
1. AGH University of Science and Technology,Department of Automatic Control & Robotics,Krakow,Poland
Funder
National Centre for Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9873851/9874261/09874262.pdf?arnumber=9874262
Reference21 articles.
1. Recent advances in functional data analysis and high-dimensional statistics
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5. Data depth for measurable noisy random functions
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1. Comparison of Data Depth Calculation Method for Fault Detection in Electric Signal;Advanced, Contemporary Control;2023
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