Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery
Auteur(s): |
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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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, septembre 2022, n. 3, v. 22 |
Page(s): | 147592172211164 |
DOI: | 10.1177/14759217221116417 |
- Informations
sur cette fiche - Reference-ID
10689852 - Publié(e) le:
13.08.2022 - Modifié(e) le:
30.05.2023