2020
DOI: 10.3390/app10030944
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Vibration Feature Analysis for Gas-Insulated Switchgear Mechanical Fault Detection under Varying Current

Abstract: 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 de… Show more

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Cited by 5 publications
(2 citation statements)
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“…The variation of the rolling noise magnitude is an important feature showing the current rail status. Feng and Wu [13] identified the possible defects in gas-insulated switchgear using vibration amplitude for diagnosis of a power grid. The periodicity in the vibration responses was used to extract the vibration feature.…”
Section: Sensors Parameter Identification and Signal Processingmentioning
confidence: 99%
“…The variation of the rolling noise magnitude is an important feature showing the current rail status. Feng and Wu [13] identified the possible defects in gas-insulated switchgear using vibration amplitude for diagnosis of a power grid. The periodicity in the vibration responses was used to extract the vibration feature.…”
Section: Sensors Parameter Identification and Signal Processingmentioning
confidence: 99%
“…However, the main excitation in the substation is current and voltage, which leads to the vibration of the electric equipment in normal operating condition. Many scholars studied the vibration responses of the busbar under the action of the electromagnetic force generated by the power frequency current [13][14][15][16], and they considered that the electromagnetic force is the main cause of the busbar vibration. Bian et al [17] explored the vibration response of the GIS busbar under the condition of eccentricity using power frequency voltage.…”
Section: Introductionmentioning
confidence: 99%