Yun-guang Huang

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Pressured SF6 gas is widely used in GIS for electrical insulation as well as for are extinction. And a chemical way for detecting the SF6 and its byproducts is a powerful diagnosis method for GIS. The present paper analyzes the decomposition of insulated gas of GIS (mostly SF6) in three cases with infrared spectrometer. As a result, it was found that the(More)
Infrared spectroscopy analysis of SF6 and its derivative is an important method for operating state assessment and fault diagnosis of the gas insulated switchgear (GIS). Traditional methods are complicated and inefficient, and the results can vary with different subjects. In the present work, the feature extraction methods in machine learning are(More)
By detecting the stable by-products of SF6 through ultraviolet spectroscopy, the present paper achieved the rapid detection of the GIS partial discharge fault. First derivative and the S-G filter were used for the spectral denoising and smoothing. The discharge experiment was used for validating feature selection. Principal component regression was used for(More)
As the basis of accurate diagnosis, fault early-warning of gas insulation switchgear (GIS) focuses on the time-effectiveness and the applicability. It would be significant to research the method of unified early-warning for partial discharge (PD) and overheated faults in GIS. In the present paper, SO2 is proposed as the common and typical by-product. The(More)
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