Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current
As a key component to ensure the safe operation of the power grid, mechanical defect diagnosis technology of gas-insulated switchgear (GIS) during operation is often neglected. At present, GIS mechanical fault detection based on vibration information has not been developed. The main reason is that t...
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doaj-fb5490a8bcff48e18137c1443a3d3b192020-11-25T01:38:06ZengMDPI AGApplied Sciences2076-34172020-02-0110394410.3390/app10030944app10030944Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying CurrentYing Feng0Jianwen Wu1School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, ChinaSchool of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, ChinaAs a key component to ensure the safe operation of the power grid, mechanical defect diagnosis technology of gas-insulated switchgear (GIS) during operation is often neglected. At present, GIS mechanical fault detection based on vibration information has not been developed. The main reason is that the excitation current is considerable but uncontrollable in the actual operation of GIS. It is difficult to eliminate the influence of excitation on the vibration amplitude and form an effective vibration feature description technology. Therefore, this paper proposes a unified feature-extraction method for GIS vibration information that reduces the influence of current amplitude for mechanical fault diagnosis. Starting from the GIS mechanical analysis, the periodicity of vibration excitation and the influence of amplitude are discussed. Then, combined with the non-linear characteristics of GIS systems and non-linear vibration theory, the multiplier frequency energy ratio (MFER) is designed to extract vibration-unified features of GIS for diagnosing the mechanical fault under different current levels. The diagnosis results of the experimental data with different feature-extraction methods show the applicability and superiority of the proposed method in the GIS’s mechanical fault-detection field based on vibration information.https://www.mdpi.com/2076-3417/10/3/944diagnosis systemfeature extractiongas insulated switchgearmechanical faultvibration information |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ying Feng Jianwen Wu |
spellingShingle |
Ying Feng Jianwen Wu Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current Applied Sciences diagnosis system feature extraction gas insulated switchgear mechanical fault vibration information |
author_facet |
Ying Feng Jianwen Wu |
author_sort |
Ying Feng |
title |
Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current |
title_short |
Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current |
title_full |
Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current |
title_fullStr |
Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current |
title_full_unstemmed |
Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current |
title_sort |
vibration feature analysis for gas-insulated switchgear mechanical fault detection under varying current |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2020-02-01 |
description |
As a key component to ensure the safe operation of the power grid, mechanical defect diagnosis technology of gas-insulated switchgear (GIS) during operation is often neglected. At present, GIS mechanical fault detection based on vibration information has not been developed. The main reason is that the excitation current is considerable but uncontrollable in the actual operation of GIS. It is difficult to eliminate the influence of excitation on the vibration amplitude and form an effective vibration feature description technology. Therefore, this paper proposes a unified feature-extraction method for GIS vibration information that reduces the influence of current amplitude for mechanical fault diagnosis. Starting from the GIS mechanical analysis, the periodicity of vibration excitation and the influence of amplitude are discussed. Then, combined with the non-linear characteristics of GIS systems and non-linear vibration theory, the multiplier frequency energy ratio (MFER) is designed to extract vibration-unified features of GIS for diagnosing the mechanical fault under different current levels. The diagnosis results of the experimental data with different feature-extraction methods show the applicability and superiority of the proposed method in the GIS’s mechanical fault-detection field based on vibration information. |
topic |
diagnosis system feature extraction gas insulated switchgear mechanical fault vibration information |
url |
https://www.mdpi.com/2076-3417/10/3/944 |
work_keys_str_mv |
AT yingfeng vibrationfeatureanalysisforgasinsulatedswitchgearmechanicalfaultdetectionundervaryingcurrent AT jianwenwu vibrationfeatureanalysisforgasinsulatedswitchgearmechanicalfaultdetectionundervaryingcurrent |
_version_ |
1725055127848484864 |