Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios-Reference-Cited by-同舟云学术

Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Ding Ao¹^ORCID,Qin Yong¹^ORCID,Wang Biao²^ORCID,Jia Limin²^ORCID,Cheng Xiaoqing¹^ORCID

Affiliation:

1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

2. Collaborative Innovation Center of Railway Traffic Safety, Beijing Jiaotong University, Beijing, China

Funder

Fundamental Research Funds for the Central Universities

Talent Fund of Beijing Jiaotong University

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/09996425.pdf?arnumber=9996425

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5. GhostNet: More Features From Cheap Operations

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