Fault Classification of Rotary Machinery Based on Smooth Local Subspace Projection Method and Permutation Entropy

Fault Classification of Rotary Machinery Based on Smooth Local Subspace Projection Method and Permutation Entropy

Collected mechanical signals usually contain a number of noises, resulting in erroneous judgments of mechanical condition diagnosis. The mechanical signals, which are nonlinear or chaotic time series, have a high computational complexity and intrinsic broadband characteristic. This paper proposes a...

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Bibliographic Details
Main Authors:	Lingjun Xiao, Yong Lv, Guozi Fu
Format:	Article
Language:	English
Published:	MDPI AG 2019-05-01
Series:	Applied Sciences
Subjects:	smooth orthogonal decomposition permutation entropy weighting matrix fault classification rotary machinery
Online Access:	https://www.mdpi.com/2076-3417/9/10/2102

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