Motor current signal analysis using hypergraph neural networks for fault diagnosis of electromechanical system-Reference-Cited by-同舟云学术

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Motor current signal analysis using hypergraph neural networks for fault diagnosis of electromechanical system

Published:2022-09 Issue: Volume:201 Page:111697
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhang Kongliang,Li Hongkun,Cao Shunxin,Yang Chen,Sun Fubiao,Wang Zibo

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference53 articles.

1. Dynamic characteristic of electromechanical coupling effects in motor-gear system;Bai;J. Sound Vib.,2018

2. Investigation of electromechanical coupling vibration characteristics of an electric drive multistage gear system;Yi;Mech. Mach. Theory,2018

3. Magnetic equivalent modeling of stator currents for localized fault detection of planetary gearboxes coupled to electric motors;Han;IEEE Trans. Ind. Electron.,2021

4. Multiple-order graphical deep extreme learning machine for unsupervised fault diagnosis of rolling bearing;Zhao;IEEE Trans. Instrum. Meas.,2021

5. Investigation on planetary gearbox fault mechanism under variable speed conditions based on rigid-flexible coupling dynamics model;Zhang;Eng. Fail. Anal.,2022

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1. CE-FFGAN: A feature fusion generative adversarial network with deep embedded category information for limited sample fault diagnosis of rotating machinery under speed variation;Advanced Engineering Informatics;2024-10

2. AHFormer: Hypergraph embedding coding transformer and adaptive aggregation network for intelligent fault diagnosis under noise interference;Advanced Engineering Informatics;2024-08

3. Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings;Reliability Engineering & System Safety;2024-07

4. A deep learning approach for electric motor fault diagnosis based on modified InceptionV3;Scientific Reports;2024-05-29

5. Anomaly Detection of Permanent Magnet Synchronous Motor Based on Improved DWT-CNN Multi-Current Fusion;Sensors;2024-04-16

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