A simulation-driven difference mode decomposition method for fault diagnosis in axial piston pumps-Reference-Cited by-同舟云学术

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A simulation-driven difference mode decomposition method for fault diagnosis in axial piston pumps

Published:2024-10 Issue: Volume:62 Page:102624
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Guo Jianchun,Liu Yi,Yang Ronggang,Sun Weifang,Xiang Jiawei^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump;Tang;Adv. Eng. Inform.,2021

2. A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images;Tang;Adv. Eng. Inform.,2022

3. Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump;Kumar;Mech. Syst. Sig. Process.,2022

4. Upadhyay, A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings;Akhand Rai;Tribol. Int.,2016

5. An improved envelope spectrum via candidate fault frequency optimization-gram for bearing fault diagnosis;Cheng;J. Sound Vib.,2022

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