Analysis of artificial intelligence techniques applied to thermographic inspection for automatic detection of electrical problems

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dc.contributor.authorOLIVATTI, Y.
dc.contributor.authorPENTEADO, C.
dc.contributor.authorPlinio Thomaz Aquino Junior
dc.contributor.authorRodrigo Maia
dc.contributor.authorOrcidhttps://orcid.org/0000-0003-4870-3429
dc.contributor.authorOrcidhttps://orcid.org/0000-0002-5100-7443
dc.date.accessioned2022-01-12T21:56:28Z
dc.date.available2022-01-12T21:56:28Z
dc.date.issued2019
dc.description.abstract© 2018 IEEE.Electrical energy is among the most important resources used nowadays, in the modern world. Despite this, there is a considerable waste of much of what is spent on power generation, since some of the energy generated does not reach the final consumer. One of the scopes addressed by smart cities is the optimal use of the basic resources available to the population, such as electricity. Thermographic inspection is a technique that allows non-invasive sensing. Through it, it is possible to analyze components and electrical equipment by capturing the temperature of its surface. With the aim of finding electrical faults and reducing losses, this work studies the use of thermography, computational algorithms and artificial intelligence techniques to automatically detect electrical problems.
dc.identifier.citationOLIVATTI, Y.; PENTEADO, C.; AQUINO JUNIOR, P. T.; MAIA, R. Analysis of artificial intelligence techniques applied to thermographic inspection for automatic detection of electrical problems. 2018 IEEE International Smart Cities Conference, ISC2 2018, fev. 2019.
dc.identifier.doi10.1109/ISC2.2018.8656724
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3727
dc.relation.ispartof2018 IEEE International Smart Cities Conference, ISC2 2018
dc.rightsAcesso Restrito
dc.subject.otherlanguageartificial intelligence
dc.subject.otherlanguageelectrical energy
dc.subject.otherlanguagesmart cities
dc.subject.otherlanguagethermography
dc.titleAnalysis of artificial intelligence techniques applied to thermographic inspection for automatic detection of electrical problems
dc.typeArtigo de evento
fei.scopus.citations2
fei.scopus.eid2-s2.0-85063473165
fei.scopus.subjectArtificial intelligence techniques
fei.scopus.subjectAutomatic Detection
fei.scopus.subjectComputational algorithm
fei.scopus.subjectElectrical energy
fei.scopus.subjectElectrical equipment
fei.scopus.subjectElectrical faults
fei.scopus.subjectElectrical problems
fei.scopus.subjectNon-invasive sensing
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85063473165&origin=inward
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