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...
Main Authors: | Lingjun Xiao, Yong Lv, Guozi Fu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-05-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/10/2102 |
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