GNPENet: A Novel Convolutional Neural Network With Local Structure for Fault Diagnosis-Reference-Cited by-同舟云学术

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GNPENet: A Novel Convolutional Neural Network With Local Structure for Fault Diagnosis

Published:2024 Issue: Volume:73 Page:1-16
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Jinping¹^ORCID,Ran Ruisheng²^ORCID,Fang Bin³^ORCID

Affiliation:

1. College of Computer and Information Science, Chongqing Normal University, Chongqing, China

2. College of Computer and Information Science and the College of Intelligent Science, Chongqing Normal University, Chongqing, China

3. College of Computer Science, Chongqing University, Chongqing, China

Funder

Key Project for Science and Technology Research Program of Chongqing Municipal Education Commission

Chongqing Technology Innovation and Application Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10304236.pdf?arnumber=10304236

Reference48 articles.

1. Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network

2. Autoencoder-based representation learning and its application in intelligent fault diagnosis: A review

3. Compound Fault Diagnosis Using Optimized MCKD and Sparse Representation for Rolling Bearings

4. Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network

5. Time-frequency ridge estimation: An effective tool for gear and bearing fault diagnosis at time-varying speeds

Cited by 1 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. Fourier Feature Refiner Network With Soft Thresholding for Machinery Fault Diagnosis Under Highly Noisy Conditions;IEEE Internet of Things Journal;2024-07-01

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