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

机译:激光诱导击穿光谱技术快速分类HTV硅橡胶材料的耐蚀性

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摘要

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.
机译:硅橡胶材料由于其出色的疏水性和疏水性转移性能而被广泛用于高压外部绝缘系统中。但是,硅橡胶是一种聚合物材料,其抗电漏电和腐蚀的能力很差。因此,必须将一些填料添加到材料中以提高性能。斜面测试是一种标准方法,用于通过使材料经受电压应力和污染性液滴的结合以产生破坏来评估耐漏电起痕性和耐蚀性。该测试耗时且难以应用于现场检查。在本文中,提出了一种使用激光诱导击穿光谱法(LIBS)评估耐腐蚀性能的新方法。研究了填料含量对耐漏电起痕性能和耐腐蚀性能的影响,并通过热重分析和LIBS技术表征了填料含量。在本文中,使用主成分分析(PCA)和基于LIBS光谱的神经网络算法对硅橡胶样品的耐漏电起痕性能进行了正确分类。这项工作的结论对硅橡胶复合材料的性能表征具有重要意义。

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