Statistical method with efficient IT support for power transformer asset management

Power transformer has degraded under its normal and abnormal operating conditions, maintenance activities are vital to restore the condition back to the normal condition. The traditional preventive maintenance is well known and successfully performed, but its cost is very high. This paper aims to improve the drawback by introducing asset management system for systematical records of scattering failure statistics. Web application is used to support a condition evaluation of power transformer. To determine a criticality of each component, a statistic method as Weibull distribution is proposed. Power transformer models of rated voltages 115/22 kV and 230/115 kV are applied based on available technical data, history test records and number in service. Finally, failure results, lifetime estimations and mean time between failures of power transformer components are discovered. Subsequently, data collection and analysis as well as appropriate maintenance planning are systematically managed.