A Fusion Feature Extraction Method Using EEMD and Correlation Coefficient Analysis for Bearing Fault Diagnosis

A Fusion Feature Extraction Method Using EEMD and Correlation Coefficient Analysis for Bearing Fault Diagnosis

Acceleration sensors are frequently applied to collect vibration signals for bearing fault diagnosis. To fully use these vibration signals of multi-sensors, this paper proposes a new approach to fuse multi-sensor information for bearing fault diagnosis by using ensemble empirical mode decomposition...

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Bibliographic Details
Main Authors: Fan Jiang, Zhencai Zhu, Wei Li, Yong Ren, Gongbo Zhou, Yonggen Chang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Applied Sciences
Subjects:
feature fusion
sensitive IMFs selection
fault diagnosis
EEMD
SVM
Online Access:http://www.mdpi.com/2076-3417/8/9/1621

Internet

http://www.mdpi.com/2076-3417/8/9/1621

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