Condition monitoring of outdoor polymeric insulation structures using wavelets and neural networks

Author

Sarathi, R. ; Chandrasekar, S. ; Venkataseshaiah, C. ; Yoshimura, N.

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India

fYear

2003

fDate

19-22 Oct. 2003

Firstpage

398

Lastpage

401

Abstract

Tracking studies were carried out under AC and DC voltage, with EPDM specimens following IEC-587 standards. It is observed from the experimental study that the increase in conductivity, flow rate and the applied voltage reduces the tracking time of the material. In the present work, use of multi resolution signal decomposition technique and the artificial neural networks to monitor the surface condition of the insulation structure under AC voltage was demonstrated.

Keywords

electric breakdown; electrical conductivity; ethylene-propylene rubber; neural nets; organic insulating materials; polymers; surface discharges; wavelet transforms; AC voltage; DC voltage; EPDM specimens; IEC-587 standards; applied voltage; condition monitoring; conductivity; flow rate; multi resolution signal decomposition technique; neural networks; outdoor polymeric insulation structures; wavelets; Artificial neural networks; Condition monitoring; Conducting materials; Conductivity; Insulation life; Neural networks; Plastic insulation; Polymers; Signal resolution; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation and Dielectric Phenomena, 2003. Annual Report. Conference on

Print_ISBN

0-7803-7910-1

Type

conf

DOI

10.1109/CEIDP.2003.1254877

Filename

1254877