Power function-based Gini indices: New sparsity measures using power function-based quasi-arithmetic means for bearing condition monitoring
| Autor(en): |
Bingyan Chen
(State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China)
Fengshou Gu (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China) Weihua Zhang (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China) Dongli Song (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China) Yao Cheng (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China) Zewen Zhou (Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring, April 2023, n. 6, v. 22 |
| Seite(n): | 147592172211497 |
| DOI: | 10.1177/14759217221149745 |
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Datenseite - Reference-ID
10714772 - Veröffentlicht am:
21.03.2023 - Geändert am:
14.01.2024
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