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文章摘要
基于红外成像技术的电气设备故障检测
Fault detection of electrical equipment based on infrared imaging technology
Received:March 27, 2018
Revised:March 27, 2018
DOI：
10.19753/j.issn1001-1390.2019.010.020
中文关键词
:
红外成像技术
电气设备故障
灰度值
相对温差法
故障区域特征
故障等级
英文关键词
:
基金项目
:
Author Name
Affiliation
E-mail
liuqi
*
Liaoning Electric Power Co.
,
Ltd. Power Science Research Institute
8635liuqi@sina.com
wangmaojun
Liaoning Electric Power Co.
,
Ltd. Power Science Research Institute
8635liuqi@sina.com
gaoqiang
Liaoning Electric Power Co.
,
Ltd. Power Science Research Institute
8635liuqi@sina.com
lixiaoming
Liaoning Electric Power Co.
,
Ltd. Power Science Research Institute
8635liuqi@sina.com
shilin
Liaoning Electric Power Co.
,
Ltd. Power Science Research Institute
8635liuqi@sina.com
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中文摘要
:
以往电气设备故障检测所采用的信号处理方法，提取信号特征进行故障检测，无法实现故障的区域检测，缺乏故障等级的有效判断，检测结果具有检测准确度低、结果不稳定的缺点。因此，提出基于红外成像技术的电气设备故障检测方法，其通过红外摄像仪检测电气设备红外图像的温度值后，以灰度图像替代红外图像获得阈值的强度信息矩阵，提取电气设备红外图像的灰度值。根据温度与灰度的映射关系，采用相对温差法对红外图像高温区域进行提取。基于电气设备红外图像高温区域，进行故障区域面积与故障区域质心的计算，获得红外图像的故障区域的特征，通过灰度和温度的对应关系，反推电气设备故障区域质心的温度，运用绝对温差法确定电气设备故障等级。实验结果说明：所提方法具有较高的检测准确度和稳定性。
英文摘要
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