Study of silicone rubber used at external insulation of high voltage with laser-induced breakdown spectroscopy (LIBS)

2016 ◽  
Author(s):  
Zou Lin ◽  
Wang Han ◽  
Hong Xiao ◽  
Xilin Wang ◽  
Zhidong Jia
Keyword(s):  
High Voltage ◽  
Silicone Rubber ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
External Insulation ◽  
Laser Induced Breakdown

scholarly journals A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1087 ◽  
Author(s):  
Ping Chen ◽  
Xilin Wang ◽  
Xun Li ◽  
Qishen Lyu ◽  
Naixiao Wang ◽  
...  
Keyword(s):  
Silicone Rubber ◽  
Erosion Resistance ◽  
Performance Enhancement ◽  
Filler Content ◽  
Principal Component ◽  
Laser Induced Breakdown Spectroscopy ◽  
Rubber Material ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Resistance Performance

Silicone rubber material is widely used in high-voltage external insulation systems due to its excellent hydrophobicity and hydrophobicity transfer performance. However, silicone rubber is a polymeric material with a poor ability to resist electrical tracking and erosion; therefore, some fillers must be added to the material for performance enhancement. The inclined plane test is a standard method used for evaluating the tracking and erosion resistance by subjecting the materials to a combination of voltage stress and contaminate droplets to produce failure. This test is time-consuming and difficult to apply in field inspection. In this paper, a new and faster way to evaluate the tracking and erosion resistance performance is proposed using laser-induced breakdown spectroscopy (LIBS). The influence of filler content on the tracking and erosion resistance performance was studied, and the filler content was characterized by thermogravimetric analysis and the LIBS technique. In this paper, the tracking and erosion resistance of silicone rubber samples was correctly classified using principal component analysis (PCA) and neural network algorithms based on LIBS spectra. The conclusions of this work are of great significance to the performance characterization of silicone rubber composite materials.

scholarly journals In‐situ and quantitative analysis of aged silicone rubber materials with laser‐induced breakdown spectroscopy

High Voltage ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 140-146 ◽  
Author(s):  
Wang Xilin ◽  
Hong Xiao ◽  
Chen Ping ◽  
Zhao Chenlong ◽  
Jia Zhidong ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Silicone Rubber ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

scholarly journals Analysis of Pollution in High Voltage Insulators via Laser-Induced Breakdown Spectroscopy

Molecules ◽  
2020 ◽  
Vol 25 (4) ◽  
pp. 822 ◽  
Author(s):  
Xinwei Wang ◽  
Shan Lu ◽  
Tianzheng Wang ◽  
Xinran Qin ◽  
Xilin Wang ◽  
...  
Keyword(s):  
High Voltage ◽  
Delay Time ◽  
Energy Intensity ◽  
Laser Energy ◽  
Spectral Characteristics ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Pollution Detection ◽  
Deposit Density

Surface pollution deposition in a high voltage surface can reduce the surface flashover voltage, which is considered to be a serious accident in the transmission of electric power for the high conductivity of pollution in wet weather, such as rain or fog. Accordingly, a rapid and accurate online pollution detection method is of great importance for monitoring the safe status of transmission lines. Usually, to detect the equivalent salt deposit density (ESDD) and non-soluble deposit density (NSDD), the pollution should be collected when power cut off and bring back to lab, time-consuming, low accuracy and unable to meet the online detection. Laser-induced breakdown spectroscopy (LIBS) shows the highest potential for achieving online pollution detection, but its application in high voltage electrical engineering has only just begun to be examined. In this study, a LIBS method for quantitatively detecting the compositions of pollutions on the insulators was investigated, and the spectral characteristics of a natural pollution sample were examined. The energy spectra and LIBS analysis results were compared. LIBS was shown to detect pollution elements that were not detected by conventional energy spectroscopy and had an improved capacity to determine pollution composition. Furthermore, the effects of parameters, such as laser energy intensity and delay time, were investigated for artificial pollutions. Increasing the laser energy intensity and selecting a suitable delay time could enhance the precision and relative spectral intensities of the elements. Additionally, reducing the particle size and increasing the density achieved the same results.

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