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In electrical power transmission and distribution networks power transformers represent a crucial group of assets both in terms of reliability and investments. In order to safeguard the required quality at acceptable costs, decisions must be based on a reliable forecast of future behaviour. The aim of the present study is to develop an integral transformer lifetime model which involves degradation...
The age of the majority of power transformers applied in the western electricity network varies between 25 and 50 years. Depending on the load history and time of operation, replacement on short term is imminent. A technically sound policy concerning the replacement of these assets must be based on knowledge of (i) the life expectancy or reliability of individual components, (ii) how these failure...
Knowledge of the reliability of power transformers is of growing importance to the asset manager. A method is presented for determining the reliability of a power transformer based on the mechanical strength of winding insulation paper. In addition to the modelling technique, there is a validation method for the modelling technique presented. The validation method depends on a good data management...
The ageing of power systems and their components are of great concern for the asset manager, especially in view of the coming replacement wave in the electrical infrastructure. The asset manager is in need for a prediction tool, to determine the long term effects on the statistical relevant parameters of a population of power systems components. In this paper we describe a method for forecasting the...
In view of the coming major asset replacement wave of power grid components, new lifetime prediction tools are developed to assist asset managers in making technically and economically sound decisions. This paper discusses the modeling technique based on the concept of quality parameters applied to paper insulated systems. The concept of quality parameters was recently introduced for power transformers...
In this paper the concept of an integral transformer lifetime model is presented. The model provides the best possible prediction of future behaviour given the data available. It treats remaining life in terms of future failure probability, thereby giving better support to the decision taking process than a mere remaining life estimate. The core of the model is a generic description of ageing processes,...
In the coming decades the systems for generation, transmission and distribution of electrical power undergoes significant changes due to technical, economical, social and environmental drivers and developments. In this paper we discuss how these changes affect future maintenance. First of all there is a continuous evolution of maintenance practice as such. Secondly maintenance practice have to adapt...
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