Due to the deregulation of the electricity market leading to an increasing level of the utilisation of power transmission capacities, the power transmission company ELES as a transmission system operator is facing the need to implement new strategies within the area of Asset Management.
The company's primary goal is to achieve improvements in efficiency and system reliability. In order to achieve these goals this thesis proposes the implementation of the Asset Health Index (AHI) as the key part in the Asset Management process for the power transformer. AHI is used to predict the future condition of an asset to set maintenance priorities. It is calculated using quantitative data gained through observations, field inspections and data from laboratories.
The key part of the AHI within the wider concept of Asset Management processes lies in the proactive and predictable maintenance and enables employees to be guided more effectively. The proposed method will bring significant improvement and will help the company reduce costs. The AHI calculation methodology is based on the adaptive use of iterative AHI evaluations and presents a building block to the implementation of the Reliability-Centred Maintenance strategy (RCM).
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