Dimension reduction graph‐based sparse subspace clustering for intelligent fault identification of rolling element bearings

Dimension reduction graph‐based sparse subspace clustering for intelligent fault identification of rolling element bearings

Abstract Sparse subspace clustering (SSC) is a spectral clustering methodology. Since high‐dimensional data are often dispersed over the union of many low‐dimensional subspaces, their representation in a suitable dictionary is sparse. Therefore, SSC is an effective technology for diagnosing mechanic...

書目詳細資料
Main Authors:	Le Zhao, Shaopu Yang, Yongqiang Liu
格式:	Article
語言:	English
出版:	Wiley 2021-12-01
叢編:	International Journal of Mechanical System Dynamics
主題:	correlation distance dimension reduction sparse subspace clustering
在線閱讀:	https://doi.org/10.1002/msd2.12019

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