Research on the Blind Source Separation Method Based on Regenerated Phase-Shifted Sinusoid-Assisted EMD and Its Application in Diagnosing Rolling-Bearing Faults
To improve the performance of single-channel, multi-fault blind source separation (BSS), a novel method based on regenerated phase-shifted sinusoid-assisted empirical mode decomposition (RPSEMD) is proposed in this paper. The RPSEMD method is used to decompose the original single-channel vibration s...
Main Authors: | Cancan Yi, Yong Lv, Han Xiao, Guanghui You, Zhang Dang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/7/4/414 |
Similar Items
-
Feature Extraction of Ship-Radiated Noise Based on Regenerated Phase-Shifted Sinusoid-Assisted EMD, Mutual Information, and Differential Symbolic Entropy
by: Guohui Li, et al.
Published: (2019-02-01) -
Fault identification and severity assessment of rolling element bearings based on EMD and fast kurtogram
by: Lei Cheng, et al.
Published: (2016-09-01) -
Novel EMD-Based Extraction Approach of Electric Field Fringe Impacts on a Micro Capacitive Displacement Sensor
by: Jian-Ping Yu, et al.
Published: (2018-05-01) -
Antitumor Effect of MAb EMD 55900 Depends on EGF-R Expression and Histopathology
by: Christine Solbach, et al.
Published: (2002-01-01) -
Intelligent Fault Diagnosis of Rolling Bearing Using FCM Clustering of EMD-PWVD Vibration Images
by: Hongwei Fan, et al.
Published: (2020-01-01)