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

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
Main Authors: Qing Li, Steven Y. Liang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Symmetry
Subjects:
degradation trajectories prognostic
asymmetric penalty sparse decomposition (APSD)
rolling bearings
wavelet neural network (WNN)
recursive least squares (RLS)
health indicators
Online Access:http://www.mdpi.com/2073-8994/10/6/214

Internet

http://www.mdpi.com/2073-8994/10/6/214

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