Early intelligent fault diagnosis of rotating machinery based on IWOA-VMD and DMKELM-Reference-Cited by-同舟云学术

Early intelligent fault diagnosis of rotating machinery based on IWOA-VMD and DMKELM

Published:2022-11-23 Issue:6 Volume:111 Page:5287-5306
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

Jin Zhenzhen,He Deqiang^ORCID,Lao Zhenpeng,Wei Zexian,Yin Xianhui,Yang Weifeng

Funder

National Natural Science Foundation of China

Major Science and Technology Project of Guangxi Province of China

Interdisciplinary Scientific Research Foundation of Guangxi University

Guangxi Manufacturing Systems and Advanced Manufacturing Technology Key Laboratory Director Fund

Innovation Project of Guangxi Graduate Education

Guangxi Key R & D Program

Project of Improving the Basic Ability of Scientific Research of Young and Middle-aged Teachers in Guangxi Universities

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11071-022-08109-8.pdf

Reference41 articles.

1. Zhang, Z., Shao, M., Ma, C., et al.: An enhanced domain-adversarial neural networks for intelligent cross-domain fault diagnosis of rotating machinery. Nonlinear Dyn. 108(3), 2385–2404 (2022)

2. He, D., Liu, C., Jin, Z., et al.: Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning. Energy 239, 122108 (2022)

3. Peng, B., Xia, H., Lv, X., et al.: An intelligent fault diagnosis method for rotating machinery based on data fusion and deep residual neural network. Appl. Intell. 52(3), 3051–3065 (2022)

4. Jones, D., Snider, C., Nassehi, A., et al.: Characterising the digital twin: a systematic literature review. CIRP J. Manuf. Sci. Technol. 29, 36–52 (2020)

5. Wang, X., Si, S., Li, Y.: Hierarchical diversity entropy for the early fault diagnosis of rolling bearing. Nonlinear Dyn. 108(2), 1447–1462 (2022)

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