Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector-Reference-Cited by-同舟云学术

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Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Gabor Mateusz¹,Zdunek Rafał¹,Zimroz Radosław²,Wyłomańska Agnieszka³

Affiliation:

1. Wroclaw University of Science and Technology,Faculty of Electronics, Photonics, and Microsystems,Wroclaw,Poland,50-370

2. Wroclaw University of Science and Technology,Faculty of Geoengineering, Mining and Geology,Wroclaw,Poland,50-421

3. Wroclaw University of Science and Technology,Faculty of Pure and Applied Mathematics, Hugo Steinhaus Centre,Wroclaw,Poland,50-372

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10311571/10311610/10312465.pdf?arnumber=10312465

Reference35 articles.

1. A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions

2. Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis

3. Rolling element bearing fault detection using PPCA and spectral kurtosis

4. Learning the parts of objects by non-negative matrix factorization

5. Selection of informative frequency band in local damage detection in rotating machinery

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