A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy
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 mus...
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MDPI AG
2019-03-01
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Online Access: | http://www.mdpi.com/1424-8220/19/5/1087 |
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author | Ping Chen Xilin Wang Xun Li Qishen Lyu Naixiao Wang Zhidong Jia |
author_facet | Ping Chen Xilin Wang Xun Li Qishen Lyu Naixiao Wang Zhidong Jia |
author_sort | Ping Chen |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-11T13:41:12Z |
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language | English |
last_indexed | 2024-04-11T13:41:12Z |
publishDate | 2019-03-01 |
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spelling | doaj.art-cd2ba758712e4b4dad237b124cea68412022-12-22T04:21:16ZengMDPI AGSensors1424-82202019-03-01195108710.3390/s19051087s19051087A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown SpectroscopyPing Chen0Xilin Wang1Xun Li2Qishen Lyu3Naixiao Wang4Zhidong Jia5Engineering Laboratory of Power Equipment Reliability in Complicated Coastal Environment, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaEngineering Laboratory of Power Equipment Reliability in Complicated Coastal Environment, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaShenzhen Power Supply Co. Ltd., Shenzhen 518038, ChinaShenzhen Power Supply Co. Ltd., Shenzhen 518038, ChinaEngineering Laboratory of Power Equipment Reliability in Complicated Coastal Environment, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaEngineering Laboratory of Power Equipment Reliability in Complicated Coastal Environment, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, ChinaSilicone 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.http://www.mdpi.com/1424-8220/19/5/1087silicone rubber materialtracking and erosion resistancelaser-induced breakdown spectroscopyneural network |
spellingShingle | Ping Chen Xilin Wang Xun Li Qishen Lyu Naixiao Wang Zhidong Jia A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy Sensors silicone rubber material tracking and erosion resistance laser-induced breakdown spectroscopy neural network |
title | A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy |
title_full | A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy |
title_fullStr | A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy |
title_full_unstemmed | A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy |
title_short | A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy |
title_sort | quick classifying method for tracking and erosion resistance of htv silicone rubber material via laser induced breakdown spectroscopy |
topic | silicone rubber material tracking and erosion resistance laser-induced breakdown spectroscopy neural network |
url | http://www.mdpi.com/1424-8220/19/5/1087 |
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