This paper proposes a new technique of using Axial Flux Induction Machines (AFIMs) for wind energy conversion systems. The Power Generation by wind is found to be enhanced by using a Twin Rotor Axial Flux Induction Machine (TRAFIM). By using Axial Flux Induction Machines, the gear box ratio can be reduced. The Single air gap and TRAFIM have been mathematically modeled in the environment of MATL...

This paper focuses on the modeling of a cage induction machine drive under direct-field oriented control, also referred to as flux-vector control. The interest is to create a behavioral model of an induction machine drive under field orientation for sytem simulations since field-oriented control is now commonplace in commerical adjustable speed drives. First, the 3phase induction machine model ...

Single-phase induction machines are found in various appliances such as refrigerators, washing machines, driers, air conditioners, and fans. Large concentrations of single-phase induction motor loads such as air conditioners and other motorcompressor loads can adversely impact the dynamic performance of a power system. An understanding of the dynamics of this type of induction machine is needed...

The use of expert systems is becoming more and more widespread, making the need for appropriate machine learning techniques more acute to help ease the knowledge aquisition bottleneck. Additionally, the increasing number of large databases ooers a vast potential for the automatic generation of new knowledge by machines and its communication to people in a comprehensible form. In response to the...

In this work we present the modelling of the induction machine, taking into consideration the stator defects of the induction machine. It is based on the theory of electromagnetic coupling of electrical circuits. In fact, for the modelling of stationary defects such as short circuit between turns in the same phase, we introduce only in the matrix the coefficients of resistance and inductance of...

The paper presents a method for parameters estimation of squirrel cage induction motor. The statespace model of the system can be decomposed in two quasi-decoupled systems because the dynamic of electrical system and the one of the magnetizing system are different. It is used a multitime scale decomposition to obtain reduced operational reactances. In the experiments the induction machine is at...

Self-excited induction generators are increasingly being used in remote areas to generate electrical power from both conventional and nonconventional energy sources. This paper investigates a multi-phase self excited induction generator designed for its six-phase operation. Evaluations were made out on the basis of the machine performance which includes voltage and current characteristics at di...

Maintaining high annotation consistency in large corpora is crucial for statistical learning; however, such work is hard, especially for tasks containing semantic elements. This paper describes predicate argument structure analysis using transformation-based learning. An advantage of transformation-based learning is the readability of learned rules. A disadvantage is that the rule extraction pr...

The phenomenon of saturation of electric machines constitutes an important subject of investigation in electrical engineering. This paper presents a new modeling technique for saturation in the case of induction machines. Necessary calculations to introduce this technique in the linear flux model are presented. Computed results and experimental tests on the transients of the self-excited induct...

In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space, which is particularly suited for visualizing the behavior of rule learning and its heuristics. On the one hand, we think that our results lead to a better understanding of the effects of stopping and filtering criteria, and he...