基于高光谱技术的车顶绝缘子表面粗糙度检测

摘要：高速列车运行过程中产生的强气流会夹带沙尘，导致高速的沙尘撞击到车体外部设备表面，使车顶绝缘子表面粗糙度增大，导致绝缘子的憎水性、污垢特性和绝缘性能发生变化，对列车安全稳定运行造成隐患。在我国现有的表面粗糙度检测方法中，接触式检测和光触针法会对绝缘子表面造成损伤，红外检测法会受到漏电流的干扰，大部分方法需要拆卸检测，这些方法都存在一定的缺点。因此，本文提出了一种车顶绝缘子表面粗糙度的非接触检测方法。首先利用高光谱成像仪提取绝缘子表面的图像信息，然后对提取到的高光谱图像进行预处理，并利用连续投影算法对数据进行缩减。最后利用支持向量机构建绝缘子表面粗糙度判别模型，成功实现了车顶绝缘子表面粗糙度的高光谱检测方法，并通过实验验证了所提方法的有效性。作为一种非接触式检测方法，该方法可以在非拆卸条件下检测出车顶绝缘子的表面粗糙度，有助于现场工作人员及时掌握高铁车顶绝缘子的表面粗糙度。

关键词：车顶绝缘子，表面粗糙度，高光谱技术，非接触检测，支持向量机。

期刊：ACCESS

DOI：https://DOI.org/10.1364/OE.26.009822

设备：GaiaField

Surface Roughness Detection of Roof Insulator Based on Hyperspectral Technology

Abstract：The strong air ow generated during the operation of the high-speed train will carry sand and dust, causing high-speed sand and dust to hit the surface of the external equipment of the vehicle body, which will increase the surface roughness of the roof insulators, resulting in the changes of the hydrophobicity, fouling characteristics and insulation performance of the insulator. It poses a hidden danger to the safe and stable operation of the train. In our existing surface roughness testing methods, contact detections and optical stylus methods can cause damage to the insulator surface. Infrared detection methods will be disturbed by leakage current. Most methods need to be disassembled for testing. These methods have certain disadvantages. Therefore, this paper proposes a non-contact detection method for the surface roughness of the roof insulators. Firstly, we extract the image information of the insulator surface by hyperspectral imager, then preprocess the extracted hyperspectral image and use the continuous projection algorithm to reduce the data. Finally, we use the support vector machine to construct the insulator surface roughness discriminant model, and successfully realize the hyperspectral detection method of the surface roughness of the roof insulators, and verify the effectiveness of the proposed method by experiments. As a non-contact detection method, this method can detect the surface roughness of the roof insulators in the non-disassembly conditions, and help the eld staffs to grasp the surface roughness of the high-speed train roof insulators in time.

INDEXTERMS：Roofinsulator,surfaceroughness,hyperspectraltechnology,noncontactdetection,support vector machines.