Thermal images dataset, Transformer, 1 phase dry type
Description
--Contact email: m.najafi@nit.ac.ir --Babol Noshirvani University of Technology --Applying this dataset is allowed just by considering the creator's citation for any academic or other purposes. This is thermal images (IRT) dataset in the context of condition monitoring of electrical equipment--Transformer. All artificially generated defects are internal faults and depend on neither external pieces nor failure in initial setup components. Regarding the transformer, 8 different cases of short circuit failures in common core winding were considered. The thermal image acquisition is done at the workbench by a Dali-tech T4/T8 infrared thermal image camera at an Electrical Machines Laboratory at the environment temperature of 23°. The number of images is 255 in 9 conditions. You can find the other specification in the PDF file attached to this dataset.
Files
Steps to reproduce
Rights Reserved. Applying this dataset is allowed just by considering the creator's citation for any academic or other purposes. Or you can Cite related Paper : M. Najafi, Y. Baleghi, S. A. Gholamian and S. Mehdi Mirimani, "Fault Diagnosis of Electrical Equipment through Thermal Imaging and Interpretable Machine Learning Applied on a Newly-introduced Dataset," 2020 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), Mashhad, Iran, 2020, pp. 1-7, doi: 10.1109/ICSPIS51611.2020.9349599. Contact email: m.najafi@nit.ac.ir -- Same benchmark and IR-images acquisition for Induction motor could be found here: doi: 10.17632/8mg8mkc7k5.1 Najafi, Mohamad; Baleghi, Yasser; Mirimani, Seyyed Mehdi (2020), “Thermal images_1-phase_ dry type_Transformer”, Mendeley Data, V1,