Funding for this research was provided by:
Fundation of Science and Technology Department of JiangXi Province (20182BCB22021)
National Natural Science Foundation of China (71471054)
Fundamental Research Funds for the Central Universities (PA2019GDQT0004)
Article Title: Joint optimization of statistical and deep representation features for bearing fault diagnosis based on random subspace with coupled LASSO
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2020 IOP Publishing Ltd
Publication dates
Date Received: 2020-05-03
Date Accepted: 2020-09-04
Online publication date: 2020-12-03