Original scientific paper

Advanced analytics for transformer asset management

Bhaba Das ; Hitachi ABB Power Grids

Abstract

Power transformers are one of the most crucial components of any power system network. A new asset management software called APM Edge, based on the reliability centred maintenance (RCM) methodology for the fleet-wide assessment of power transformers that utilises the principle of fault tree analysis is now available. This analytical software is an expert system that incorporates a probabilistic model which always assigns a risk factor to any given transformer – both for longterm reliability and short-term functionality.
This paper presents a case study on the utilisation of this expert system and analytical software on a 25 MVA
transformer which helped in:
• DGA data quality identification
• Predicting future dissolved gas trends
• Predicting when the DGA abnormal levels would be reached
• Time available before the shutdown
• Determining what investigations are required.

Keywords

analytics, asset management, dissolved gas analysis, expert model

Hrčak ID:

242418

URI

https://hrcak.srce.hr/242418

Publication date:

8.7.2020.

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