A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis

A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis

A feature extraction method named improved multi-scale entropy (IMSE) is proposed for rolling bearing fault diagnosis. This method could overcome information leakage in calculating the similarity of machinery systems, which is based on Pythagorean Theorem and similarity criterion. Features extracted...

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Bibliographic Details
Main Authors: Bin Ju, Haijiao Zhang, Yongbin Liu, Fang Liu, Siliang Lu, Zhijia Dai
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Entropy
Subjects:
improved multi-scale entropy
multi-scale entropy
feature extraction
bearing fault diagnosis
Online Access:http://www.mdpi.com/1099-4300/20/4/212

Internet

http://www.mdpi.com/1099-4300/20/4/212

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