Prediction of polymer insulating material degradation using daubechies wavelet transformation

S. Venkataraman, R. S. Gorur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Economic and technical advantages have led to the increased use of polymer materials for insulators in transmission and distribution lines. Two important factors, which affect the performance of materials, are aging and loss of hydrophobicity. The conventional method to detect the changes along the material surface has been the measurement of leakage current. In this paper, a new method based on the Daubechies-4 wavelet transformation function is proposed and realized. The objective is to find a pattern that provides an early waming of the failure of polymer material. Different polymer materials were tested by the standard Inclined Plane (IP) testing method. Over a fixed interval of time, maximum and minimum values of the wavelet transform of the signal and that of the leakage current are stored for further analysis. With the obtained data, graphs are plotted and for the data obtained just before failure, distinct differences are observed to predict a failure of the polymer material.

Original languageEnglish (US)
Title of host publicationConference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report
Pages323-326
Number of pages4
StatePublished - 2002
Event2002 IEEE Conference on Electrical Insulation and Dielectric Phenomena - Cancun, Mexico
Duration: Oct 20 2002Oct 24 2002

Other

Other2002 IEEE Conference on Electrical Insulation and Dielectric Phenomena
CountryMexico
CityCancun
Period10/20/0210/24/02

Fingerprint

Insulating materials
Degradation
Polymers
Leakage currents
Hydrophobicity
Wavelet transforms
Aging of materials
Economics
Testing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Building and Construction

Cite this

Venkataraman, S., & Gorur, R. S. (2002). Prediction of polymer insulating material degradation using daubechies wavelet transformation. In Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report (pp. 323-326)

Prediction of polymer insulating material degradation using daubechies wavelet transformation. / Venkataraman, S.; Gorur, R. S.

Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report. 2002. p. 323-326.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Venkataraman, S & Gorur, RS 2002, Prediction of polymer insulating material degradation using daubechies wavelet transformation. in Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report. pp. 323-326, 2002 IEEE Conference on Electrical Insulation and Dielectric Phenomena, Cancun, Mexico, 10/20/02.
Venkataraman S, Gorur RS. Prediction of polymer insulating material degradation using daubechies wavelet transformation. In Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report. 2002. p. 323-326
Venkataraman, S. ; Gorur, R. S. / Prediction of polymer insulating material degradation using daubechies wavelet transformation. Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report. 2002. pp. 323-326
@inproceedings{594eaa94b5cf49e4bdef3d66c151bf09,
title = "Prediction of polymer insulating material degradation using daubechies wavelet transformation",
abstract = "Economic and technical advantages have led to the increased use of polymer materials for insulators in transmission and distribution lines. Two important factors, which affect the performance of materials, are aging and loss of hydrophobicity. The conventional method to detect the changes along the material surface has been the measurement of leakage current. In this paper, a new method based on the Daubechies-4 wavelet transformation function is proposed and realized. The objective is to find a pattern that provides an early waming of the failure of polymer material. Different polymer materials were tested by the standard Inclined Plane (IP) testing method. Over a fixed interval of time, maximum and minimum values of the wavelet transform of the signal and that of the leakage current are stored for further analysis. With the obtained data, graphs are plotted and for the data obtained just before failure, distinct differences are observed to predict a failure of the polymer material.",
author = "S. Venkataraman and Gorur, {R. S.}",
year = "2002",
language = "English (US)",
pages = "323--326",
booktitle = "Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report",

}

TY - GEN

T1 - Prediction of polymer insulating material degradation using daubechies wavelet transformation

AU - Venkataraman, S.

AU - Gorur, R. S.

PY - 2002

Y1 - 2002

N2 - Economic and technical advantages have led to the increased use of polymer materials for insulators in transmission and distribution lines. Two important factors, which affect the performance of materials, are aging and loss of hydrophobicity. The conventional method to detect the changes along the material surface has been the measurement of leakage current. In this paper, a new method based on the Daubechies-4 wavelet transformation function is proposed and realized. The objective is to find a pattern that provides an early waming of the failure of polymer material. Different polymer materials were tested by the standard Inclined Plane (IP) testing method. Over a fixed interval of time, maximum and minimum values of the wavelet transform of the signal and that of the leakage current are stored for further analysis. With the obtained data, graphs are plotted and for the data obtained just before failure, distinct differences are observed to predict a failure of the polymer material.

AB - Economic and technical advantages have led to the increased use of polymer materials for insulators in transmission and distribution lines. Two important factors, which affect the performance of materials, are aging and loss of hydrophobicity. The conventional method to detect the changes along the material surface has been the measurement of leakage current. In this paper, a new method based on the Daubechies-4 wavelet transformation function is proposed and realized. The objective is to find a pattern that provides an early waming of the failure of polymer material. Different polymer materials were tested by the standard Inclined Plane (IP) testing method. Over a fixed interval of time, maximum and minimum values of the wavelet transform of the signal and that of the leakage current are stored for further analysis. With the obtained data, graphs are plotted and for the data obtained just before failure, distinct differences are observed to predict a failure of the polymer material.

UR - http://www.scopus.com/inward/record.url?scp=0036442596&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036442596&partnerID=8YFLogxK

M3 - Conference contribution

SP - 323

EP - 326

BT - Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report

ER -