Sparse Optimistic Based on Lasso-LSQR and Minimum Entropy De-Convolution with FARIMA for the Remaining Useful Life Prediction of Machinery

To reduce the maintenance cost and safeguard machinery operation, remaining useful life (RUL) prediction is very important for long term health monitoring. In this paper, we introduce a novel hybrid method to deal with the RUL prediction for health management. Firstly, the sparse reconstruction algo...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Bo, Gao, Yangde, Feng, Songlin, Chanwimalueang, Theerasak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512308/
https://www.ncbi.nlm.nih.gov/pubmed/33265836
http://dx.doi.org/10.3390/e20100747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512308/
https://www.ncbi.nlm.nih.gov/pubmed/33265836
http://dx.doi.org/10.3390/e20100747

Ejemplares similares