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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Computer generation of equivalent networks.

Soukup, Zdenek. January 1967 (has links)
No description available.

An Algorithm for the rapid analysis of sparse electrical networks.

Millar, Douglas James. January 1970 (has links)
No description available.

Passive time-delay networks

Bertnolli, Edward Clarence. January 1961 (has links)
Call number: LD2668 .T4 1961 B45

Constant-K complementary filters

Fowler, Eddie Randolph. January 1965 (has links)
Call number: LD2668 .T4 1965 F78 / Master of Science

Synthesis of RC active filter

張立傑, Cheung, Lap-kit. January 1970 (has links)
published_or_final_version / Electrical Engineering / Master / Master of Science in Engineering

Minimal realization of RC one-port

何嘉良, Ho, Ka-leung. January 1973 (has links)
published_or_final_version / Electrical Engineering / Master / Master of Philosophy

Stabiele beheerders vir stroomgevoegde mutators met pulswydtemodulasie as vervormingskompensators in kragnetwerke

16 February 2015 (has links)
M.Ing. / Previous studies on the four-pulse dynamic compensator showed the existence of a stable limit cycle in the compensating current. Attempts were made to eliminate this limit cycle by placing a small signal active filter in the feedback path of the system, as it influenced the efficiency of the compensator. The efficiency of the active filter depends, on system parameters such as the impedance of the supply network and the load. Thus the small signal active filter eliminated the limit cycle only conditionally. A control method referred to as error modulation, was developed in order to eliminate the limit cycle unconditionally. According to this method the amplitude of the error is used to determine the modulation depth. Results showed that this method completely eliminates the limit cycle. In order to analyse this method analytically, a dual-input describing function for the altered non-linearity was derived. It was possible, by using the describing function, to explain the stability of the system with error modulation. Tests on the system revealed a poor dynamic response. The undamped nature of the system decreased the efficiency of the system. Damping was introduced to the system in such a way, that losses were kept at a minimum, while the dynamic response of the system improved. It has also been experienced that the losses in the system tends to use all the stored energy in the inductor. Previous attempts to stabilise the amount of stored energy in the inductor,did not succeed. 'n Control system using feedback was thus developed to stabilise the energy in the inductor, and the dynamic compensator losses are drawn from the supply.

Synthesis of RC active filter.

Cheung, Lap-kit. January 1970 (has links)
Thesis--M. Sc., University of Hong Kong. / Mimeographed.

Minimal realization of RC one-port.

Ho, Ka-leung. January 1973 (has links)
Thesis (M. Phil.)--University of Hong Kong, 1973. / Mimeographed.

Optimisation of technical power losses in distribution networks using Genetic Algorithm and load flow.

Le Roux P.F. January 2013 (has links)
M. Tech. Electrical Engineering / Reconfiguration of electric distribution networks is treated as an optimisation problem of a combinatorial nature, where the main goal is to achieve a path in the network with minimal power losses and with a good computation time. There are various ways of reducing active power losses in distribution networks, where network reconfiguration is one of the most important methods. However, it can be a very difficult optimisation problem. The Genetic Algorithm with Rank Weight selection method is therefore proposed. The method is used to search a population of switches for the optimum solution in the network.

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