@article{MAKHILLJEAS2018131716774,
    title = {Linear and non Linear Analysis of the Impact of Emissivity and Distance on
Hotspot Temperature in Condition Monitoring of Electrical
Equipments by Thermal Imaging},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {17},
    pages = {7408-7413},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.7408.7413},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.7408.7413},
    author = {N.M. and},
    keywords = {error in temperature,distance,Emissivity,back propagation network,curve fitting,hotspot
temperature},
    abstract = {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.}
    }