HOME
About Journal
Historical evolution
Journal Honors
Editorial Board
Members of Committee
Director of the Committee
President and Editor in chief
Submission Guide
Instructions for Authors
Manuscript Processing Flow
Model Text
Procedures for Submission
Academic Influence
Open Access
Ethics&Policies
Publication Ethics Statement
Peer Review Process
Academic Misconduct Identification and Treatment
Advertising and Marketing
Correction and Retraction
Conflict of Interest
Authorship & Copyright
Contact Us
Chinese
Site search
Article Number
On-site news
English title
Author's English Name
Author's Chinese Name
Chinese name of the company
English name of the compan
Chinese keywords
English keywords
Chinese Abstract
English Abstract
Fund projects
Article Number
Chinese Title
English title
Author's English Name
Author's Chinese Name
Chinese name of the company
English name of the compan
Chinese keywords
English keywords
Chinese Abstract
English Abstract
Fund projects
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
Hits
:
1873
Download times
:
790
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
:
View Full Text
View/Add Comment
Download reader
Close
Home
About Journal
Historical evolution
Journal Honors
Editorial Board
Members of Committee
Director of the Committee
President and Editor in chief
Submission Guide
Instructions for Authors
Manuscript Processing Flow
Model Text
Procedures for Submission
Academic Influence
Open Access
Ethics&Policies
Publication Ethics Statement
Peer Review Process
Academic Misconduct Identification and Treatment
Advertising and Marketing
Correction and Retraction
Conflict of Interest
Authorship & Copyright
Contact Us
中文页面