A novel patch-matching 2D denoising method for fault diagnosis of roller bearings-Reference-Cited by-同舟云学术

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A novel patch-matching 2D denoising method for fault diagnosis of roller bearings

Published:2020-09-25 Issue:11 Volume:31 Page:115018
ISSN:0957-0233
Container-title:Measurement Science and Technology
language:
Short-container-title:Meas. Sci. Technol.

Author:

Wang Mengjiao^ORCID,Chen Yangfan,Shenglong Yu Samson,Zhang Xinan,Ho-Ching Iu Herbert,Li Zhijun,Zeng Yicheng

Funder

Natural Science Foundation of Hunan Province, China

National key R&D program of China

Research Foundation of Education Department of Hunan Province, China

The Special Funds of the National Natural Science Foundation of China

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Link

https://iopscience.iop.org/article/10.1088/1361-6501/aba071/pdf

Reference31 articles.

1. Data-driven mono-component feature identification via modified nonlocal means and MEWT for mechanical drivetrain fault diagnosis

2. Multisensor Wireless System for Eccentricity and Bearing Fault Detection in Induction Motors

3. Automated Fault Diagnosis and Accommodation Control for Mechanical Systems

4. Induction motor fault diagnosis based on neuropredictors and wavelet signal processing

5. A Smart Sensing Unit for Vibration Measurement and Monitoring

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intermittent Fault Diagnosis and Prognosis for Steer-by-Wire System Using Composite Degradation Model;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-06

2. Fine-tuning transfer learning based on DCGAN integrated with self-attention and spectral normalization for bearing fault diagnosis;Measurement;2023-03

3. Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network;Neurocomputing;2022-08

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