An intelligent fault diagnosis method of high voltage circuit breaker based on improved EMD energy entropy and multi-class support vector machine-Reference-Cited by-同舟云学术

An intelligent fault diagnosis method of high voltage circuit breaker based on improved EMD energy entropy and multi-class support vector machine

Published:2011-02 Issue:2 Volume:81 Page:400-407
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Huang Jian,Hu Xiaoguang,Geng Xin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference25 articles.

1. CIGRE Working Group 13.06, Final report of the second international enquiry on high voltage circuit breaker failures and defects in service, CIGRE Rep. 83 (1994).

2. Event timing and shape analysis of vibration bursts from power circuit breakers;Polycarpou;IEEE Trans. Power Deliv.,1996

3. Vibration analysis for diagnostic testing of circuit breakers;Runde;IEEE Trans. Power Deliv.,1996

4. A noninvasive diagnostic instrument for power circuit breakers;Demjanenko;IEEE Trans. Power Deliv.,1992

5. Vibration analysis for periodic diagnostic testing of circuit breakers;Runde,1999

Cited by 91 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. A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion;Neural Networks;2024-10

2. Vibration and acoustic signal-based bearing fault diagnosis in CNC machine using an improved deep learning;Iran Journal of Computer Science;2024-08-17

3. Fault Diagnosis of High Voltage Contactor Using Acoustic Monitoring;2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM);2024-06-19

4. Fault Diagnosis of Universal Circuit Breakers Based on Variational Mode Decomposition and WOA-DBN;Applied Sciences;2024-06-06

5. Research on Mechanical Fault Diagnosis Method of Circuit Breakers Based on Fusion of Multi-Source Signal Data;2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE);2024-04-26