Predicting the ageing time of thin film sacrificial copper strip sensors over a wide range of DBDS concentrations

Ahmad Khiar, Mohd Shahril and Zulkefli, Nur Izyan Husnina and Ab Ghani, Sharin and Sutan Chairul, Imran and Rahim, Nor Hidayah and Ahmad, Asimi Ana (2023) Predicting the ageing time of thin film sacrificial copper strip sensors over a wide range of DBDS concentrations. Journal of Advanced Research in Applied Sciences and Engineering Technology, 34 (1). pp. 199-211. ISSN 2462-1943

[img] Text
Predicting the ageing time of thin film sacrificial copper strip sensors over a wide range of DBDS concentrations.pdf

Download (2MB)

Abstract

Catastrophic transformer failures are often attributed to corrosive sulphur-related faults. However, the existing challenge lies in the absence of practical, real-time monitoring techniques for sulphur corrosion, especially on-site. Previous studies have proposed the use of thin film sacrificial copper strip sensors as a promising solution to address this issue. Yet, their effectiveness in detecting corrosive by-products resulting from varying concentrations of DBDS breakdown remains unexplored. To bridge this knowledge gap, this study introduces an alternative technique that utilizes MATLAB software for linear interpolation and extrapolation. The findings demonstrate the capability of this technique to predict the ageing time of thin film sacrificial copper strip sensors when exposed to corrosive by-products derived from DBDS breakdown across a broad concentration range. This research aims to provide a valuable contribution towards enabling effective monitoring of sulphur corrosion and enhancing transformer maintenance practices.

Item Type: Article
Uncontrolled Keywords: Corrosive sulphur, DBDS, Insulating oil, Interpolation and extrapolation, Thin film sacrificial copper
Divisions: Faculty Of Electrical Technology And Engineering
Depositing User: Sabariah Ismail
Date Deposited: 24 Jul 2024 16:03
Last Modified: 24 Jul 2024 16:03
URI: http://eprints.utem.edu.my/id/eprint/27575
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item