Thermal image of equipment (Induction Motor)

Published: 12 March 2021| Version 2 | DOI: 10.17632/m4sbt8hbvk.2


--Contact email: --Babol Noshirvani University of Technology This is thermal images (IRT) dataset in the context of condition monitoring of electrical equipment--Induction Motors. All artificially generated defects are internal faults and depend on neither external pieces nor failure in initial setup components. For the induction motor, 8 different cases of short circuit failures in the stator windings, stuck rotor fault, and cooling fan failure are taken into account 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°. To pave the way for future research or testing AI systems, the IR-image dataset has been developed and it has been made publicly available for use by researchers in this field. Regarding the reservation of the BNUT rights, referencing this page--doi--is a desideratum. In this work, a dataset of thermographic images representing 11 conditions for 3-Phase induction motors were introduced. Specifications of Camera and equipment which used for this very dataset are shown in tables 1, 2, and 3 in the Readme_InductionMotor.pdf.


Steps to reproduce

--Applying this dataset is allowed just by considering the Contributors' citation for any academic or other purposes. You can Cite the 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.


Babol Noshirvani University of Technology


Thermography, Non-Destructive Testing, Thermal Imaging, Induction Machine, System Fault Detection, Non-Invasive Diagnostics