Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery
Autor(en): |
Shun Wang
(School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shanxi, China)
Yongbo Li (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shanxi, China) Shubin Si (School of Mechanics and Engineering, Northwestern Polytechnical University, Xi’an, Shanxi, China) Khandaker Noman (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shanxi, China) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring, September 2022, n. 3, v. 22 |
Seite(n): | 147592172211164 |
DOI: | 10.1177/14759217221116417 |
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Datenseite - Reference-ID
10689852 - Veröffentlicht am:
13.08.2022 - Geändert am:
30.05.2023