A High-Accuracy-Light-AI Data-Driven Diagnosis Method for Open-Circuit Faults in Single-Phase PWM Rectifiers
Author:
Affiliation:
1. Ministry of Education Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Southwest Jiaotong University, Chengdu, China
Funder
Funds of the National Natural Science Foundation of China
Science and Technology Program of Sichuan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6687316/10251026/10021683.pdf?arnumber=10021683
Reference34 articles.
1. A Fast and Robust Diagnostic Method for Multiple Open-Circuit Faults of Voltage-Source Inverters Through Line Voltage Magnitudes Analysis
2. An On-Line Multiple Open-Circuit Fault Diagnostic Technique for Railway Vehicle Air-Conditioning Inverters
3. Cascaded Multi-Column RVFL+ Classifier for Single-Modal Neuroimaging-Based Diagnosis of Parkinson's Disease
4. Open-Circuit Fault Identification Method for Interleaved Converters Based on Time-Domain Analysis of the State Observer Residual
5. Online open‐switch fault diagnosis method in single‐phase PWM rectifiers
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