Detecting leakage current by infrared thermography method
-
Published:2019-10-01
Issue:1
Volume:16
Page:200
-
ISSN:2502-4760
-
Container-title:Indonesian Journal of Electrical Engineering and Computer Science
-
language:
-
Short-container-title:IJEECS
Author:
B. M Shariff M Riduan,L. Abdullah M.F.,B. A Latiff M Yusop,B. Mohamad Ahmad,B. Ismail Iszaizul
Abstract
<span>An alternating current leakage can happen in electrical installation such as switchgear panel. If it’s not being detected earlier and address properly, it might lead to unintended incident or accident such as fire, electric shock, and power supply trip. Occasionally, if it appears, tracing its root cause can be difficult. The conventional method is by isolating one by one of the electrical loads with aids of multimeter and clamp meter. <span class="apple-converted-space"> </span>Unfortunately, this conventional method could be a tedious job for installations involved in numbers of electrical panels. Therefore, an alternative method is deeming necessary. This paper describes research works on Infrared Thermography (IRT) as a new method in detecting leakage current as aids in resolving related electrical problems. The scope of study mingling around to determine IRT’s suitable parameters that represent the identification of leakage current, derive new mathematical equation correlating leakage current to IRT and conduct experiment accordingly. Two new equations derived which are leakage current relationship to thermogram and infrared net radiation power. The results of experiment adherence to the hypothesis drawn. Consequently, helps to realize predictive maintenance concept by detecting the root cause of leakage current ahead its triggering points of unintended incident and accident.</span>
Publisher
Institute of Advanced Engineering and Science
Subject
Electrical and Electronic Engineering,Control and Optimization,Computer Networks and Communications,Hardware and Architecture,Information Systems,Signal Processing
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Arcing Faults Detection in Switchgear with Extreme Learning Machine;Journal of Physics: Conference Series;2022-08-01
2. Simple blood bag storage using peltier;THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021);2022