The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a statistical learning method capable of classifying the incidence level of partial discharges in power transformers. By using the results from acoustic emission measurements, it is possible to detect the presence of partial discharges inside the equipment, allowing the qualitative health monitoring of the transformer’s insulation. Therefore, the use of a Bayesian Network is proposed,...
This paper proposes a method for evaluating and classifying transformers, using equations to obtain scores and ratings for insulation resistance tests as a function of the age of these devices, resulting in recommendations to support decision-making. Analyses were made of test results of power transformers of 1 MVA to 50 MVA, wrapped in insulation Kraft paper and immersed in insulating mineral oil,...
The identification of metrics or ranges of parameters for the detection of partial discharges by the acoustic emission method for the diagnosis and/or classification of power transformers according to their state is essential to support decisions about equipment stoppages at the proper time, i.e., before a failure occurs. This paper discusses these parameters based on the analyses of several field...
A robust genetic circuit optimizer using Unscented Transform and Non-dominated Sorting Genetic Algorithm-II is presented. The algorithm provides significant computational cost reduction compared to Monte Carlo method. The Unscented Transform permits circuit performance uncertainties determination from components uncertainties, thus, a search through robustness can be approached. Besides reduced computational...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.