Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network-Reference-Cited by-同舟云学术

Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network

Author:

An Kang¹^ORCID,Lu Jingfeng¹^ORCID,Zhu Quanjing¹^ORCID,Wang Xiaoxian²^ORCID,De Silva Clarence W.³^ORCID,Xia Min⁴^ORCID,Lu Siliang¹^ORCID

Affiliation:

1. College of Electrical Engineering and Automation, Anhui University, Hefei, China

2. College of Electronics and Information Engineering, Anhui University, Hefei, China

3. Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada

4. Department of Engineering, Lancaster University, Lancaster, U.K

Funder

National Natural Science Foundation of China

Project of the Outstanding Young Talents in Colleges and Universities of Anhui Province

University Outstanding Youth Research Project of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference34 articles.

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3. Research on convolutional neural networks in motor fault diagnosis;Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023);2024-04-01