TY  - JOUR
T1  - Linear and non Linear Analysis of the Impact of Emissivity and Distance on
Hotspot Temperature in Condition Monitoring of Electrical
Equipments by Thermal Imaging
AU - Nandhitha, N.M. AU - Sangeetha, M.S. 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 17
SP  - 7408
EP  - 7413
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.7408.7413
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.7408.7413
KW  - error in temperature
KW  -distance
KW  -Emissivity
KW  -back propagation network
KW  -curve fitting
KW  -hotspot
temperature
AB  - Condition monitoring of electrical equipments by infrared thermography is strongly dependent on
the hotspot temperature. However, accuracy of hotspot detection is dependent not only on the image
processing techniques for segmentation but is also dependent on the camera parameters (set during
thermograph acquisition). Uncertainty in image processing techniques is reduced through multilevel contrast
enhancement and improved active contour modeling. In order to remove uncertainty due to IR camera settings,
mathematical relationships between the camera parameters and the error in temperature should be determined.
In this study, three different techniques namely linear regression, back propagation network, curve fitting are
used for deriving two dimensional equations. Though BPN and curve fitting provide non-linear relationship,
curve fitting is favored as it results in accurate results and lesser computational complexity.
ER  -