Realising the decomposition of a multi‐frequency signal under the coloured noise background by the adaptive stochastic resonance in the non‐linear system with periodic potential-Reference-Cited by-同舟云学术

Realising the decomposition of a multi‐frequency signal under the coloured noise background by the adaptive stochastic resonance in the non‐linear system with periodic potential

Published:2018-09 Issue:7 Volume:12 Page:930-936
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Huang Xiaogang¹²,Zhang Jingling³,Lv Meilei²,Shen Gang³,Yang Jianhua³⁴

Affiliation:

1. Department of Electrical AutomationShanghai Maritime UniversityShanghai201306People's Republic of China

2. College of Electrical and Information Engineering, Quzhou UniversityQuzhou324000People's Republic of China

3. School of Mechatronic Engineering, China University of Mining and TechnologyXuzhou221116People's Republic of China

4. Department of Mechanical EngineeringUniversity of MichiganAnn ArborMI48109USA

Funder

Department of Education of Zhejiang Province

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2017.0532

Reference38 articles.

1. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

2. EMD based refined composite multiscale entropy analysis of complex signals

3. Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis

4. Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing

5. Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation

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