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Classification of electrical appliances using magnetic field and probabilistic neural network

Many researches have proven that power lines and electrical appliances do emit electromagnetic fields and can be harmful to human's health. However, research on the effect of the magnetic fields on human's health is not yet conclusive. Instead of letting the magnetic fields emit by the ele...

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Main Authors: Rosdi N.A.M., Nordin F.H., Ramasamy A.K., Mustafa N.B.A.
Other Authors: 56405584900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-218652023-05-16T10:45:47Z Classification of electrical appliances using magnetic field and probabilistic neural network Rosdi N.A.M. Nordin F.H. Ramasamy A.K. Mustafa N.B.A. 56405584900 25930510500 16023154400 57191952020 Many researches have proven that power lines and electrical appliances do emit electromagnetic fields and can be harmful to human's health. However, research on the effect of the magnetic fields on human's health is not yet conclusive. Instead of letting the magnetic fields emit by the electrical appliances be wasted, this paper aims to use the magnetic fields to classify or identify the electrical appliances being used. Table fans, blenders and hairdryers are the electrical appliances used for this purpose where they are divided into three different categories of usage i.e. (i) used less than 1year (ii) used between 1 to 5 years and (iii) used more than 5 years. The magnetic fields are measured from all the nine appliances. Then, the features of the magnetic fields are extracted and trained offline using the Probabilistic Neural Network (PNN). From the results, it is shown that the PNN is able to identify the type of electrical appliance being used regardless of the appliances years of usage using magnetic fields emitted by the appliances. © 2014 IEEE. Final 2023-05-16T02:45:47Z 2023-05-16T02:45:47Z 2014 Conference Paper 10.1109/ICSGRC.2014.6908735 2-s2.0-84908631816 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908631816&doi=10.1109%2fICSGRC.2014.6908735&partnerID=40&md5=627fa23bba34e5aeb36120841396e55b https://irepository.uniten.edu.my/handle/123456789/21865 6908735 268 273 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Many researches have proven that power lines and electrical appliances do emit electromagnetic fields and can be harmful to human's health. However, research on the effect of the magnetic fields on human's health is not yet conclusive. Instead of letting the magnetic fields emit by the electrical appliances be wasted, this paper aims to use the magnetic fields to classify or identify the electrical appliances being used. Table fans, blenders and hairdryers are the electrical appliances used for this purpose where they are divided into three different categories of usage i.e. (i) used less than 1year (ii) used between 1 to 5 years and (iii) used more than 5 years. The magnetic fields are measured from all the nine appliances. Then, the features of the magnetic fields are extracted and trained offline using the Probabilistic Neural Network (PNN). From the results, it is shown that the PNN is able to identify the type of electrical appliance being used regardless of the appliances years of usage using magnetic fields emitted by the appliances. © 2014 IEEE.
author2 56405584900
author_facet 56405584900
Rosdi N.A.M.
Nordin F.H.
Ramasamy A.K.
Mustafa N.B.A.
format Conference Paper
author Rosdi N.A.M.
Nordin F.H.
Ramasamy A.K.
Mustafa N.B.A.
spellingShingle Rosdi N.A.M.
Nordin F.H.
Ramasamy A.K.
Mustafa N.B.A.
Classification of electrical appliances using magnetic field and probabilistic neural network
author_sort Rosdi N.A.M.
title Classification of electrical appliances using magnetic field and probabilistic neural network
title_short Classification of electrical appliances using magnetic field and probabilistic neural network
title_full Classification of electrical appliances using magnetic field and probabilistic neural network
title_fullStr Classification of electrical appliances using magnetic field and probabilistic neural network
title_full_unstemmed Classification of electrical appliances using magnetic field and probabilistic neural network
title_sort classification of electrical appliances using magnetic field and probabilistic neural network
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427782268321792
score 13.211869

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