Predicting the Ageing Time of Thin Film Sacrificial Copper Strip Sensors Over a Wide Range of DBDS Concentrations

Sharin Ab Ghani; Nur Izyan Husnina Zulkefli; Mohd Shahril Ahmad Khiar; Imran Sutan Chairul; Nor Hidayah Rahim; Asimi Ana Ahmad

doi:10.37934/araset.34.1.199211

Authors

Sharin Ab Ghani High Voltage Engineering Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia
Nur Izyan Husnina Zulkefli High Voltage Engineering Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia
Mohd Shahril Ahmad Khiar High Voltage Engineering Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia
Imran Sutan Chairul High Voltage Engineering Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia
Nor Hidayah Rahim High Voltage Engineering Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia
Asimi Ana Ahmad Chemical Engineering Technology, Malaysian Institute of Chemical and Bioengineering Technology, Melaka, Malaysia

DOI:

https://doi.org/10.37934/araset.34.1.199211

Keywords:

Corrosive sulphur, DBDS, Insulating oil, Interpolation and extrapolation, Thin film sacrificial copper

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.