Power function-based Gini indices: New sparsity measures using power function-based quasi-arithmetic means for bearing condition monitoring
Author(s): |
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: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, April 2023, n. 6, v. 22 |
Page(s): | 147592172211497 |
DOI: | 10.1177/14759217221149745 |
- About this
data sheet - Reference-ID
10714772 - Published on:
21/03/2023 - Last updated on:
14/01/2024