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The Application of Machine Learning ICA-VMD in an Intelligent Diagnosis System in a Low SNR Environment

This paper proposes a new method called independent component analysis–variational mode decomposition (ICA-VMD), which combines ICA and VMD. The purpose is to study the application of ICA-VMD in low signal-to-noise ratio (SNR) signal processing and data analysis. ICA is a very important method in th...

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Hlavní autor: Shih-Lin Lin
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2021-12-01
Edice:Sensors
Témata:
machine learning
independent component analysis
variational mode decomposition
low SNR
fault diagnosis
On-line přístup:https://www.mdpi.com/1424-8220/21/24/8344
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