An Automatic Parameter Setting Variational Mode Decomposition Method for Vibration Signals-Reference-Cited by-同舟云学术

An Automatic Parameter Setting Variational Mode Decomposition Method for Vibration Signals

Published:2024-02 Issue:2 Volume:20 Page:2053-2062
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Wang Aina¹^ORCID,Qin Pan¹^ORCID,Sun Xi-Ming¹^ORCID,Li Yingshun¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and the School of Control Science and Engineering, Dalian University of Technology, Dalian, China

Funder

National Science and Technology Major Project

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10411967/10151691.pdf?arnumber=10151691

Reference33 articles.

1. Deep Learning-Based Explainable Fault Diagnosis Model With an Individually Grouped 1-D Convolution for Three-Axis Vibration Signals

2. A Novel Fault Diagnosis Method for Rotor-Bearing System Based on Instantaneous Orbit Fusion Feature Image and Deep Convolutional Neural Network

3. A Multi-Indicator Fusion-Based Approach for Fault Feature Selection and Classification of Rolling Bearings

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

5. A comparative study of EMD and EEMD approaches for identifying chatter frequency in CNC turning

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