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基于低成本成像传感器的数字图像能量的绝缘故障量化

Insulation Failure Quantification Based on the Energy of Digital Images Using Low-Cost Imaging Sensors.

作者信息

Riba Jordi-Roger, Gómez-Pau Álvaro, Moreno-Eguilaz Manuel

机构信息

Electrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain.

Electronics Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain.

出版信息

Sensors (Basel). 2020 Dec 16;20(24):7219. doi: 10.3390/s20247219.

DOI:10.3390/s20247219
PMID:33339377
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7766111/
Abstract

Insulation faults in high-voltage applications often generate partial discharges (PDs) accompanied by corona activity, optical radiation mainly in the ultraviolet (UV) and visible bands. Recent developments in low-cost, small-size, and high-resolution visible imaging sensors, which are also partially sensitive to the UV spectral region, are gaining attention due to their many industrial applications. This paper proposes a method for early PD detection by using digital imaging sensors, which allows the severity of insulation faults to be assessed. The electrical power dissipated by the PDs is correlated to the energy of the acquired visible images, and thus, the severity of insulation faults is determined from the energy of the corona effect. A criterion to quantify the severity of insulation faults based on the energy of the corona images is proposed. To this end, the point-to-plane gap configuration is analyzed in a low-pressure chamber, where digital image photographs of the PDs are taken and evaluated under different pressure conditions ranging from 10 to 100 kPa, which cover the typical pressure range of aeronautic applications. The use of digital imaging sensors also allows an early detection, location and quantification of the PD activity, and thus assessing the severity of insulation faults to perform predictive maintenance tasks, while enabling the cost and complexity of the instrumentation to be reduced. Although the approach proposed in this paper has been applied to detect PDs in aeronautic applications, it can be applied to many other high-voltage applications susceptible of PD occurrence.

摘要

高压应用中的绝缘故障通常会产生局部放电(PD),并伴有电晕活动,主要产生紫外(UV)和可见光波段的光辐射。低成本、小尺寸且高分辨率的可见光成像传感器近来得到了发展,这类传感器对紫外光谱区域也有部分敏感性,因其众多工业应用而受到关注。本文提出了一种利用数字成像传感器进行早期局部放电检测的方法,该方法能够评估绝缘故障的严重程度。局部放电所耗散的电功率与所采集可见光图像的能量相关,因此,绝缘故障的严重程度由电晕效应的能量来确定。提出了一种基于电晕图像能量来量化绝缘故障严重程度的判据。为此,在低压腔中分析了点 - 面间隙配置,在该低压腔内拍摄局部放电的数字图像,并在10至100 kPa的不同压力条件下进行评估,该压力范围涵盖了航空应用的典型压力范围。数字成像传感器的使用还能够对局部放电活动进行早期检测、定位和量化,从而评估绝缘故障的严重程度以执行预测性维护任务,同时降低仪器的成本和复杂性。尽管本文提出的方法已应用于航空应用中局部放电的检测,但它也可应用于许多其他易发生局部放电的高压应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/bd66d043cf98/sensors-20-07219-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/a52e9d7843bc/sensors-20-07219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/ddfcb2ab6767/sensors-20-07219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/f8997e3408f6/sensors-20-07219-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/f2976adab80a/sensors-20-07219-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/ba359b8ebe25/sensors-20-07219-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/90b2c9e948d3/sensors-20-07219-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/b5302b614362/sensors-20-07219-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/a54b47e99c24/sensors-20-07219-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/bd66d043cf98/sensors-20-07219-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/a52e9d7843bc/sensors-20-07219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/ddfcb2ab6767/sensors-20-07219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/f8997e3408f6/sensors-20-07219-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/f2976adab80a/sensors-20-07219-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/ba359b8ebe25/sensors-20-07219-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/90b2c9e948d3/sensors-20-07219-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/b5302b614362/sensors-20-07219-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/a54b47e99c24/sensors-20-07219-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/7766111/bd66d043cf98/sensors-20-07219-g009.jpg

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引用本文的文献

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本文引用的文献

1
Arc Tracking Control in Insulation Systems for Aeronautic Applications: Challenges, Opportunities, and Research Needs.航空应用绝缘系统中的电弧跟踪控制:挑战、机遇和研究需求。
Sensors (Basel). 2020 Mar 16;20(6):1654. doi: 10.3390/s20061654.
2
Experimental Study of Visual Corona under Aeronautic Pressure Conditions Using Low-Cost Imaging Sensors.航空压力条件下使用低成本成像传感器的视觉冠状实验研究。
Sensors (Basel). 2020 Jan 11;20(2):411. doi: 10.3390/s20020411.
3
A review on the ability of smartphones to detect ultraviolet (UV) radiation and their potential to be used in UV research and for public education purposes.
智能手机检测紫外线(UV)辐射能力的研究综述及其在 UV 研究和公众教育中的潜在应用。
Sci Total Environ. 2020 Mar 1;706:135873. doi: 10.1016/j.scitotenv.2019.135873. Epub 2019 Dec 5.