Adaptive feature mode decomposition: a fault-oriented vibration signal decomposition method for identification of multiple localized faults in rotating machinery-Reference-Cited by-同舟云学术

Adaptive feature mode decomposition: a fault-oriented vibration signal decomposition method for identification of multiple localized faults in rotating machinery

Published:2023-07-17 Issue:17 Volume:111 Page:16237-16270
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

He Xiuzhi,Zhou Xiaoqin,Li Jieli,Mechefske Chris K.,Wang Rongqi,Yao Guofeng,Liu Qiang

Funder

China Postdoctoral Science Foundation

State Key Laboratory of Fluid Power and Mechatronic Systems

National Natural Science Foundation of China

Department of Science and Technology of Jilin Province

Education Department of Jilin Province

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/s11071-023-08703-4.pdf

Reference36 articles.

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3. Goyal, D., Pabla, B.S.: The vibration monitoring methods and signal processing techniques for structural health monitoring: a review. Arch. Comput. Methods Eng. 23(4), 585–594 (2016)

4. Zhang, J., Zhang, Q., Qin, X., Sun, Y., Zhang, J.: Gearbox compound fault diagnosis based on a combined MSGMD–MOMEDA method. Meas. Sci. Technol. 33(6), 065102 (2022)

5. Jin, Z., He, D., Lao, Z., Wei, Z., Yin, X., Yang, W.: Early intelligent fault diagnosis of rotating machinery based on IWOA-VMD and DMKELM. Nonlinear Dyn. (2022)

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