Application of Mutual Information-Sample Entropy Based MED-ICEEMDAN De-Noising Scheme for Weak Fault Diagnosis of Hoist Bearing

Application of Mutual Information-Sample Entropy Based MED-ICEEMDAN De-Noising Scheme for Weak Fault Diagnosis of Hoist Bearing

In this paper, a novel weak fault features extraction scheme is proposed to extract weak fault features in head sheave bearings of floor-type multi-rope friction mine hoists in strong noise environments. A mutual information-based sample entropy (MI-SE) is proposed to select the effective intrinsic...

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Bibliographic Details
Main Authors: Fen Yang, Ziming Kou, Juan Wu, Tengyu Li
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Entropy
Subjects:
weak fault
hoist bearing
improved complete ensemble empirical mode decomposition
minimum entropy deconvolution
sample entropy
mutual information
Online Access:http://www.mdpi.com/1099-4300/20/9/667

Internet

http://www.mdpi.com/1099-4300/20/9/667

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