A Knowledge-Based Analytics System via Online Monitoring of Dissolved Gas in Power Transformer – A Conceptual Framework

Abstract:

The monitoring of dissolved combustible gases in power transformer oil could enable early detection of disastrous fault. The conventional dissolved gases in oil monitoring activities have these characteristic: 1) periodically sampling and 2) manual interpretation of combustible gases. However, periodical sampling increases number of undetected fault due to long sampling interval and manual interpretation of dissolved gas is often too complex for system operator to digest, resulting in reduced reliability of the power system and lack of situational awareness. To enhance the condition based monitoring activities for power transformer; TNB Research is embarking on online monitoring and knowledge-based system research project to address both issues related to periodical sampling method. This paper outlines the conceptual framework of the research project which was recently approved. It includes (1) the system architecture of the online monitoring system, (2) brief explanation of the mechanism of photo-acoustic spectroscopy, (3) the engineering system situational awareness framework which integrates different levels of automation and (4) blocks of knowledge sources theory used in modeling the engineering system.

• Periodical: Advanced Materials Research (Volume 845)
• Pages: 554-558
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.845.554
• Online since: December 2013
• Authors: Mohd Radzian A. Rahman*, Mohd Iqbal Ridwan
• Keywords: Analytics, Dissolved Gas Analysis, Power Transformer, Reliability, System Engineering

References

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