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.
Transformers illustrate the majority of capital investment in transmission and distribution centers. Additionally, interruptions of power transformer have a significant economic effects on the performance of an electrical network. For this reason, the safe and reliable performance of transformer, directly related to the security and stability of power system. This paper studies the growth of leakage...
The major challenges of transformer designers are high loss evaluation, high reliability, low cost and weight requirements. So they need advanced techniques and tools that lead to optimum design and product performance improvements. In this paper magnetic fluxes and calculation of losses in three- phase distribution transformer with amorphous core have been studied. The computer-based simulation utilizing...
This paper studies the increase of losses and derating of distribution transformer, working under harmonic load. The three dimensional time stepping finite element method is (TSFEM) utilized in section 2, as a instruments for modeling the transformer under harmonic load with (THDI =12%) and viewing magnetic flux density on the windings of distribution transformers. The computer simulation according...
Based upon Wavelet Transformation analysis and BP neural network, a method for the fault diagnosis of stator winding is proposed in this paper. Firstly wavelet transformation was used to decompose vibration time signal of stator to extract the characteristic values — wavelet transformation energy, and features were input in to the BP NN. After training the BP NN could be used to identify the stator...
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.