No description available.

Thesis (PhD)--University of South Australia, 2000

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 133-137).

Thesis (Ph. D.)--University of New South Wales, 2003. / Also available online.

Thesis (M.S.)--University of Wisconsin--Madison, 1984. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leav 110).

No description available.

In this study, a slider-crank mechanism driven by an induction motor was studied for the purpose of deriving simulation data for the identification of the important operating parameters in the machine. First, a modification of a motor simulation program emphasizing losses is presented. The program is used to generate dynamic motor data for an analysis of a reciprocating mechanism. By analyzing the dynamic motor data, the operating parameters in the mechanism can be identified. The purpose of the reciprocating mechanism analysis was to define an algorithm for the identification of the parameters of mass, damping, spring stiffness, and preload force of the mechanism. The time domain data (e.g. the motor net input torque, the mechanism load torque, the angular velocity, and angular acceleration, etc.) of the mechanism from a simulation can be related through the use of Newton’s dynamic motion equation. By transforming the time domain data into frequency domain spectra and using a least squares algorithm, the mechanism parameters can be estimated. The results show that the calculated mass and stiffness can be accurately solved to within 1%. While the damping and preload force may be solved within 2% and 4% respectively. The results also confirm that the separation of the load torque signal can be used in the solution technique. That is, the load torque signal of the mechanism is an arithmetic sum of the contribution of mass, damping, spring stiffness, and preload force. The identification method of the above parameters could lead to an advancement in machine diagnosis in the future, since the operating parameters in a reciprocating machine are greatly related to an impending machine failure. / Master of Science

Thesis. 1975. B.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / Bibliography: leaf 104. / by Donald N. North and James M. Guyer. / B.S.

M. Tech. Electrical Engineering. / Studies the symmetrical six phase induction machine structure, to determine different devices this machine can adapt to and to model these devices mathematically. Laboratory experiments are to be conducted and used to verify theoretical findings. The research objectives are:to determine what devices the symmetrical structure can adapt to ; to develop a mathematical model of the machine operating as different devices and to determine the equivalent circuit of the specific mode of operation ; to investigate both steady state and dynamic behaviour of the machine operating as different devices using Matlab / Simulink simulation software package ; to use a laboratory prototype of the "3 & 6" machine to validate theoretical findings.

M. Tech. Electrical Engineering. / In the recent past, there has been an increase in demand for high data rate services and system designers are always looking for ways to improve the capacity and quality of service (QoS) of wireless communication networks. The main objective of the study is to propose an asynchronous power allocation scheme based on the classical waterfilling algorithms in a multi-user MIMO uplink system. The proposed algorithm is fully distributed and eliminates the need for user synchronization during power allocation. Each user in the system competes with one another in choosing the capacity maximizing transmit power while treating the multi-user interference as noise. The problem is reduced to finding the optimal transmit covariance matrix of the users that maximizes the sum capacity of the system. We formulate the power allocation problem as a non-cooperative game and show the existence and uniqueness of the Nash Equilibrium (NE) point. The proposed Semi-Asynchronous MIMO Waterfilling algorithm maximizes the system sum capacity without the need for synchronization among users when updating their power allocation.