This paper presents an artificial neural network (ANN) approach to predicting and classifying distribution transformer specific iron losses, i.e., losses per weight unit. The ANN is trained to learn the relationship of several parameters affecting iron losses. For this reason, the ANN learning and testing sets are formed using actual industrial measurements, obtained from previous completed tra...

At higher operating (GHz) frequency the interconnect wire does not behave like a simple metallic resistance but as a transmission line. This being the main reason for signal integrity losses in high frequency interconnect line. Signal Integrity (SI) losses in the interconnect wires are the disturbances coming out of their distributed nature of parasitic capacitances, resistances and inductances...

With the dramatic growth of nonlinear loads, it is desired to improve active filters performance and enhance their capacity. One of the most favorable methods is applying distributed active filter system (DAFS) in which leads to minimizing the cost, weight & size .The main purpose of this paper is to determine the locations and sizes of distributed active filter system (DAFS) With emphasis on r...

We consider uniform lossy transmission lines characterized by their primary parameters. Exact and approximate formulas for the characteristic impedance and propagation coefficient are reviewed and discussed for low-loss lines. Approximating the characteristic impedance by its real part can lead to erroneous results for the input impedance of shortand open-circuited stubs. This problem is analyt...

Introduction The important considerations in the design and operation of a transmission line are the determination of voltage drop, line losses and efficiency of transmission. These values are greatly influenced by the line constants R, L and C of the transmission line. For instance, the voltage drop in the line depends upon the values of above three line constants. Similarly, the resistance of...