406930

Polynomial Modeling of Transformer Hazard Using Artificial Neural Network

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Last updated: 01 Feb 2025

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Abstract

The conventional way of forming the hazard lifetime function of transformers applies the best modeling based on the history data using Hazard Plotting Approach (HPA) under different functions: Normal Distribution, Lognormal Distribution, Weibull Distribution and Smallest Extreme Value Distribution. In this paper will propose a new method to develop best modeling using Artificial Neural Network- based polynomial model with minimum error to represent the hazard function for transformer. The procedure of applying the proposed methodology is simple. The quality of the obtained results ensures the adequacy of applying of this methodology for expecting the failure time of the transformer.

DOI

10.21608/erjsh.2019.406930

Keywords

Polynomial Model, artificial neural network, Transformer Hazard Plotting Approach, Observed Hazard

Authors

First Name

Mohamed

Last Name

Abd Rabou

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Affiliation

Energy Management Head of Quality, SIEMENS, Cairo, Egypt

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First Name

Walid

Last Name

El-Khattam

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Affiliation

Electrical Power and Machines Dep., Faculty of Eng., Ain shams University, Cairo, Egypt

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First Name

Hossam

Last Name

Talaat

MiddleName

-

Affiliation

Electrical Engineering Dept., Faculty of Engineering & technology, Future University in Egypt, Cairo, Egypt

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Volume

39

Article Issue

1

Related Issue

34898

Issue Date

2019-01-01

Receive Date

2025-01-23

Publish Date

2019-01-01

Page Start

112

Page End

120

Print ISSN

3009-6049

Online ISSN

3009-6022

Link

https://erjsh.journals.ekb.eg/article_406930.html

Detail API

http://journals.ekb.eg?_action=service&article_code=406930

Order

406,930

Type

Research articles

Type Code

2,276

Publication Type

Journal

Publication Title

Engineering Research Journal (Shoubra)

Publication Link

https://erjsh.journals.ekb.eg/

MainTitle

Polynomial Modeling of Transformer Hazard Using Artificial Neural Network

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Article

Created At

01 Feb 2025