Deakin University
Browse

File(s) under permanent embargo

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

conference contribution
posted on 2018-01-01, 00:00 authored by Yuri Olivatti, Cristiane Penteado, Plinio Thomaz Aquino, Rodrigo Filev MaiaRodrigo Filev Maia
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.

History

Event

IEEE International Smart Cities. Conference (2nd : 2018 : Kansas City, Missouri)

Pagination

1 - 5

Publisher

IEEE

Location

Kansas City, Missouri

Place of publication

Piscataway, N.J.

Start date

2018-09-16

End date

2018-09-19

ISBN-13

9781538659595

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

ISC2 2018 : Proceedings of the IEEE International Smart Cities Conference

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC