Composite Interpolated Hierarchical Dispersion Entropy: A Novel and Robust Algorithm for Mechanical Fault Diagnosis-Reference-Cited by-同舟云学术

Composite Interpolated Hierarchical Dispersion Entropy: A Novel and Robust Algorithm for Mechanical Fault Diagnosis

Published:2024-04-01 Issue:7 Volume:24 Page:10385-10399
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Lv Yong¹^ORCID,Song Hao¹^ORCID,Yuan Rui¹,Pan Haiyang²^ORCID,Zhu Weihang³^ORCID

Affiliation:

1. Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education and Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, China

2. School of Mechanical Engineering, Anhui University of Technology, Maanshan, China

3. Department of Engineering Technology, University of Houston, Houston, TX, USA

Funder

National Natural Science Foundation of China

Hubei Provincial Natural Science Foundation Youth Program

Innovation Group Program

Innovation Development Joint Key Program

Wuhan Key Research and Development Plan Artificial Intelligence Innovation Special Program

Wuhan University of Science and Technology through the 14th Five Year Plan Hubei Provincial Advantaged Characteristic Disciplines (Groups) Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10487994/10440009.pdf?arnumber=10440009

Reference47 articles.

1. Rolling bearing fault diagnosis based on VMD reconstruction and DCS demodulation

2. WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking

3. Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task

4. Degradation Tracking of Rolling Bearings Based on Local Polynomial Phase Space Warping

5. Multivariate Dynamic Mode Decomposition and Its Application to Bearing Fault Diagnosis