Thermal images dataset, Transformer, 1 phase dry type
--Contact email: najafi.mohamad.sh@gmail.com m.najafi@nit.ac.ir --Babol Noshirvani University of Technology This version(3) contains 45 samples of Ground Truth images--determined by experts--for segmentation in order to reach the region of interest(ROI) in transformer. --Applying this dataset is all...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Dataset |
| Sprache: | eng |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Mohamad Najafi |
| description | --Contact email:
najafi.mohamad.sh@gmail.com
m.najafi@nit.ac.ir
--Babol Noshirvani University of Technology
This version(3) contains 45 samples of Ground Truth images--determined by experts--for segmentation in order to reach the region of interest(ROI) in transformer.
--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--Transformers. All artificially generated defects are internal faults, so they neither depend on external pieces nor failure in initial setup components. Regarding the transformer, 8 different cases of short circuit failures in common core winding were examined. The thermal image acquisition is done on the workbench by a Dali-tech T4/T8 infrared thermal camera in an Electrical Machines Laboratory at the environment temperature of 23°.
The number of images is 255 in 9 conditions- one of them is healthy/normal condition.
You can find the other specification in the attached PDF files or the related published paper.(DOI: 10.1109/ICSPIS51611.2020.9349599) |
| doi_str_mv | 10.17632/8mg8mkc7k5 |
| format | Dataset |
| fullrecord | <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_17632_8mg8mkc7k5</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_17632_8mg8mkc7k5</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_17632_8mg8mkc7k53</originalsourceid><addsrcrecordid>eNpjYBA2NNAzNDczNtK3yE23yM1ONs825WQwDclILcpNzFHIzE1MTy1WSEksSSxOLdFRCClKzCtOyy_KTS3SUTBUKMgACiukFFUqlFQWpPIwsKYl5hSn8kJpbgZtN9cQZw9dkPbkzJLU-IIioIFFlfGGBvFgS-MRlhqTphoAqkc52w</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Thermal images dataset, Transformer, 1 phase dry type</title><source>DataCite</source><creator>Mohamad Najafi</creator><creatorcontrib>Mohamad Najafi</creatorcontrib><description>--Contact email:
najafi.mohamad.sh@gmail.com
m.najafi@nit.ac.ir
--Babol Noshirvani University of Technology
This version(3) contains 45 samples of Ground Truth images--determined by experts--for segmentation in order to reach the region of interest(ROI) in transformer.
--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--Transformers. All artificially generated defects are internal faults, so they neither depend on external pieces nor failure in initial setup components. Regarding the transformer, 8 different cases of short circuit failures in common core winding were examined. The thermal image acquisition is done on the workbench by a Dali-tech T4/T8 infrared thermal camera in an Electrical Machines Laboratory at the environment temperature of 23°.
The number of images is 255 in 9 conditions- one of them is healthy/normal condition.
You can find the other specification in the attached PDF files or the related published paper.(DOI: 10.1109/ICSPIS51611.2020.9349599)</description><identifier>DOI: 10.17632/8mg8mkc7k5</identifier><language>eng</language><publisher>Mendeley</publisher><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17632/8mg8mkc7k5$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Mohamad Najafi</creatorcontrib><title>Thermal images dataset, Transformer, 1 phase dry type</title><description>--Contact email:
najafi.mohamad.sh@gmail.com
m.najafi@nit.ac.ir
--Babol Noshirvani University of Technology
This version(3) contains 45 samples of Ground Truth images--determined by experts--for segmentation in order to reach the region of interest(ROI) in transformer.
--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--Transformers. All artificially generated defects are internal faults, so they neither depend on external pieces nor failure in initial setup components. Regarding the transformer, 8 different cases of short circuit failures in common core winding were examined. The thermal image acquisition is done on the workbench by a Dali-tech T4/T8 infrared thermal camera in an Electrical Machines Laboratory at the environment temperature of 23°.
The number of images is 255 in 9 conditions- one of them is healthy/normal condition.
You can find the other specification in the attached PDF files or the related published paper.(DOI: 10.1109/ICSPIS51611.2020.9349599)</description><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2021</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBA2NNAzNDczNtK3yE23yM1ONs825WQwDclILcpNzFHIzE1MTy1WSEksSSxOLdFRCClKzCtOyy_KTS3SUTBUKMgACiukFFUqlFQWpPIwsKYl5hSn8kJpbgZtN9cQZw9dkPbkzJLU-IIioIFFlfGGBvFgS-MRlhqTphoAqkc52w</recordid><startdate>20210915</startdate><enddate>20210915</enddate><creator>Mohamad Najafi</creator><general>Mendeley</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20210915</creationdate><title>Thermal images dataset, Transformer, 1 phase dry type</title><author>Mohamad Najafi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_8mg8mkc7k53</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Mohamad Najafi</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mohamad Najafi</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Thermal images dataset, Transformer, 1 phase dry type</title><date>2021-09-15</date><risdate>2021</risdate><abstract>--Contact email:
najafi.mohamad.sh@gmail.com
m.najafi@nit.ac.ir
--Babol Noshirvani University of Technology
This version(3) contains 45 samples of Ground Truth images--determined by experts--for segmentation in order to reach the region of interest(ROI) in transformer.
--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--Transformers. All artificially generated defects are internal faults, so they neither depend on external pieces nor failure in initial setup components. Regarding the transformer, 8 different cases of short circuit failures in common core winding were examined. The thermal image acquisition is done on the workbench by a Dali-tech T4/T8 infrared thermal camera in an Electrical Machines Laboratory at the environment temperature of 23°.
The number of images is 255 in 9 conditions- one of them is healthy/normal condition.
You can find the other specification in the attached PDF files or the related published paper.(DOI: 10.1109/ICSPIS51611.2020.9349599)</abstract><pub>Mendeley</pub><doi>10.17632/8mg8mkc7k5</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.17632/8mg8mkc7k5 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_datacite_primary_10_17632_8mg8mkc7k5 |
| source | DataCite |
| title | Thermal images dataset, Transformer, 1 phase dry type |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T18%3A48%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Mohamad%20Najafi&rft.date=2021-09-15&rft_id=info:doi/10.17632/8mg8mkc7k5&rft_dat=%3Cdatacite_PQ8%3E10_17632_8mg8mkc7k5%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |