The numerous qualities of squirrel cage induction machines enhance their use in industry. However, various faults can occur, such as stator short-circuits and rotor failures. In this paper, we use a technique based on the spectral analysis of stator current in order to detect the fault in the machine: broken rotor bars. Thus, the number effect of the breaks has been highlighted. The effect is h...

A study is conducted on the state-of-the-art manufacturing practices of conventional industrial and research-and-development (R&D) firms manufacturing electric induction motors. It is found that current industrial processes cannot produce high-performance motors, and that current R&D processes are too costly. A new manufacturing process for fabricating the rotors of squirrel cage induction moto...

This paper focuses on the turbine-generator shaft models of double-cage Induction Generator (IG) based wind farm and its influence on the sub-synchronous resonance phenomenon. For this purpose, six different shaft models as 6-mass, 4-mass, 3-mass I, 3-mass II, 2-mass and 1-mass models are considered for double-cage IG wind-turbine. By using the linear modal analysis method, the effects of the d...

To ensure the profitability of wind industry, one most important objectives is to minimize maintenance costs. For this reason, components turbines are continuously monitored detect any type failure by analyzing signals measured sensors included in condition monitoring system. Most proposals for detection and diagnosis faults based on signal processing artificial intelligence models use a fault-...

The behavior of a railway traction squirrel cage induction motor under rotor fault conditions is simulated by a complete phase model. A simple and direct procedure for model parameters identification by finite elements method (FEM) is described.

This paper highlights the benefits of replacing the classical cast aluminum cage with a cast copper cage in the manufacture of future generation of high efficiency induction machines used as motors or generators. The numerical analysis carried out in the paper is based on a 2D plane-parallel finite element approach of the induction machine, the numerical results being discussed and compared wit...

This paper analyzes the impact of using Gopinath observer on robustness current and torque model predictive controls for three-phase squirrel-cage induction motors. The performance two controllers are compared a magnetic flux estimator based voltage Gopinath’s through simulations dynamic behavior machine when errors introduced in its resistance values.

In this paper, with the assistance of some tools and a machine learning model, smart wind turbine was formed that eliminates expensive sensors reduces sensor complexity. Squirrel cage induction generator (SCIG) six rotor blades make up proposed design, depending on wind's direction, itself can rotate hub to produce energy more effectively. Additionally, two stepper motors are coupled yaw mechan...

Voltage stability margin is ensured through the reactive power resources. In order to generate references and ensure low-voltage ride-through (LVRT) control of a wind farm system based on squirrel cage induction generator, this paper proposed an optimal approach fractional-order (FO) PI-fuzzy-PI (FOPI-fuzzy-FOPI) controller. The method ensures, also, demand for active predetermined by transmiss...