Novel Diagnosis Method for GIS Mechanical Defects Based on an Improved Lightweight CNN Model With Load Adaptive Matching
Author:
Affiliation:
1. State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, China
2. State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute, Chongqing, China
Funder
National Key R&D Program of China
State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute
Natural Science Foundation of Chongqing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10255543/10038558.pdf?arnumber=10038558
Reference28 articles.
1. Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
2. Human Activity Recognition Based on Dynamic Active Learning
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4. Detection of Permanent Magnet Damage of PMSM Drive Based on Direct Analysis of the Stator Phase Currents Using Convolutional Neural Network
5. A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
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