Intelligent Prognostics of Degradation Trajectories for Rotating Machinery Based on Asymmetric Penalty Sparse Decomposition Model

The ability to accurately track the degradation trajectories of rotating machinery components is arguably one of the challenging problems in prognostics and health management (PHM). In this paper, an intelligent prediction approach based on asymmetric penalty sparse decomposition (APSD) algorithm co...

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Bibliographic Details
Published in:Symmetry (Basel) Vol. 10; no. 6; p. 214
Main Authors: Li, Qing, Liang, Steven Y.
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.06.2018
Subjects:
ISSN:2073-8994, 2073-8994
Online Access:Get full text
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