The physical and chemical processes of surface discharge are more complicated than other discharge forms due to the influence of gas composition and dielectric properties. Spectral diagnosis can be used to analyze the main species in the discharge process. However, the chromaticity characteristics are the comprehensive representation of all emission spectra. This article presents a new method to diagnose the state of surface discharge using chromaticity coordinates in color space. It is observed that the chromaticity coordinates slide along a straight line between the equal energy white point and a specific spectral color with the development of surface discharge. The relative position of the chromaticity coordinates on the line indicates the different states of the surface discharge. The slope of the line is affected by the material characteristics while external factors such as the camera's exposure time and the color of materials have no effect on it. It is found that the slope of the chromaticity coordinate curve has a fixed range, which means that there exists a specific color space of surface discharge. Finally, the effects of the ambient noise are corrected. This method uses the chromaticity coordinates in a long time scale to diagnose the microscopic process of surface discharge and it can be extended to other state diagnoses of partial discharge phenomena. From the point of view of potential application, this method also provides a new simple method to meet the requirement of long time scale state monitoring in industrial application.

中文翻译：

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基于光学图像色度坐标的表面放电状态诊断


由于气体成分和介电性能的影响，表面放电的物理和化学过程比其他放电形式更加复杂。光谱诊断可用于分析放电过程中的主要物种。然而，色度特性是所有发射光谱的综合表示。本文提出了一种使用颜色空间中的色度坐标来诊断表面放电状态的新方法。观察到随着表面放电的发展，色品坐标沿着等能量白点和特定光谱颜色之间的直线滑动。线上色品坐标的相对位置表示表面放电的不同状态。线的斜率受材料特性的影响，而相机的曝光时间和材料的颜色等外部因素对其没有影响。发现色品坐标曲线的斜率有一个固定的范围，这意味着存在特定的表面放电颜色空间。最后，校正环境噪声的影响。该方法利用长时间尺度的色度坐标来诊断表面放电的微观过程，并可推广到局部放电现象的其他状态诊断。从潜在应用的角度来看，该方法也为满足工业应用中长时间尺度状态监测的要求提供了一种新的简单方法。