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...

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Podrobná bibliografie
Hlavní autoři: Le Zhao, Shaopu Yang, Yongqiang Liu
Médium: Článek
Jazyk:English
Vydáno: Wiley 2021-12-01
Edice:International Journal of Mechanical System Dynamics
Témata:
correlation distance
dimension reduction
sparse subspace clustering
On-line přístup:https://doi.org/10.1002/msd2.12019

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