Showing papers by "Ray Bartnikas published in 2011"

Particle swarm optimization feature selection for the classification of conducting particles in transformer oil

Abstract: The determination of particle type and dimensions in transformer oil is accomplished by using a Particle Swarm Optimization (PSO) technique in terms of the features extracted from the measured partial discharge (PD) pulse patterns. PSO selection of effective features is shown to be successful with intelligent classification for both electrical and acoustically measured data. Classification results of individual measurements were also reliable and far surpassed the efficiency of classification results obtained using the classifier solely for the same dimension of input features. The approach in this paper provides a solid basis for a data mining technique that can be used for the interpretation of both time and phase resolved raw PD patterns by searching a wide range of statistical attributes.

A Techno-Economic Method for Replacing Transformers

Abstract: A method for developing a more systematic approach to determining the life expectancy of transformers is presented. The approach is based on an economic analysis of the operational characteristics of transformers in conjunction with the technical issues involved in the decision process. Enhanced use is made of the well-known bathtub failure model, including repairs and scheduled maintenance, in order to arrive at a more economically oriented replacement decision. This goal is achieved in part by taking into account the uncertainty inherent in transformer failures and the corresponding interruptions in power. In essence, this technique constitutes a decision support system for determining the life expectancy of a transformer.

A new techno-economic replacement technique for transformers

Abstract: A method for developing a more systematic approach to determining the replacement time of transformers is presented. The approach is based on an economic analysis of transformers in conjunction with the technical issues involved in the decision process. Enhanced use is made of the well-known bathtub failure model, including repairs and scheduled maintenance, in order to arrive at a more economically oriented replacement decision. This goal is achieved in part by taking into account the uncertainty inherent in transformer failures and the corresponding interruptions in power. In essence, this technique constitutes a decision support system for determining the life expectancy of a transformer.