An innovative method of fault detection in power transformers

Abstract

The Bayesian classifier is a priori the optimal solution for minimizing the total error in problems of statistical pattern recognition. The article suggests using the classifier as a regular tool to increase the reliability of defect recognition in power oil-filled transformers based on the results of the analysis of gases dissolved in oil. The wide application of the Bayesian method for solving tasks of technical diagnostics of electrical equipment is limited by the problem of the multidimensional distribution of random parameters (features) and the nonlinearity of classification. The application of a generalized feature of a defect in the form of a nonlinear function of the transformer state parameters is proposed. This simultaneously reduces the dimension of the initial space of the controlled parameters and significantly improves the stochastic properties of the random distribution of the generalized feature. A special algorithm has been developed to perform statistical calculations and the procedure for recognizing the current technical condition of the transformer using the generated decision rule. The presented research results illustrate the possibility of the practical application of the developed method in the conditions of real operation of power transformers.

Intelligent Detection System for Electrical Equipment based on Deep Learning and Infrared Image Processing Technology

“…In order to verify the effectiveness of the proposed method in detecting fault states, comparative experiments were conducted on a test set for 20 types of faults. At the same time, the fault detection rates of different detection methods [21][22] were compared, as shown in Table Ⅱ. The best detection results for each type of fault in the table are highlighted in bold.…”

Transformer faults identification via fuzzy logic approach

“…Modern electrical power systems are complicated networks that usually require highly and more précised protection schemes that would prevent them from failing or breaking down completely [2], [3]. Transformer being the substantial and crucial element of an electrical system, is subjected to a series of problems, resulting in power outages, which when they occur, can affect the economic and social development of any nation across the globe [4]. Faults in power system transformers are issues of serious concern, the need to preserve an uninterrupted flow of electricity is of paramount importance due to its effect on social and economic development [5].…”