Early detection and diagnosis of incipient faults is desirable for online condition assessment, product quality assurance and improved operational efficiency of induction motors running off power supply mains. In this paper, a model-based fault diagnosis system is developed for induction motors, using recurrent dynamic neural networks for transient response prediction and multi-resolution signa...

Early detection and diagnosis of incipient faults is desirable for online condition assessment, product quality assurance, and improved operational efficiency of induction motors. In this paper, a speed-sensorless fault diagnosis system is developed for induction motors, using recurrent dynamic neural networks and multiresolution or Fourier-based signal processing for transient or quasi-steady-...

Voltage unbalance is a power quality problem of significant concern at the electricity distribution level. An excessive level of voltage unbalance can have serious impact on mains connected induction motors. The level of the current unbalance that is present is several times that of the level of the voltage unbalance. Such unbalance in the line currents can lead to excessive losses in the stato...

The induction motors are indispensable motor types for industrial applications due to its wellknown advantages. Therefore, many kind of control scheme are proposed for induction motors over the past years and direct torque control has gained great importance inside of them due to fast dynamic torque response behavior and simple control structure. This paper suggests a new approach on the direct...

The induction motor with an axial air gap shows some performance characteristics that are superior to conventional induction machines. So it attracts the attention of the investigators to work on the performance prediction and design of these motors. In this paper a brief history of axial flux induction motors are presented and then the different structures of them are discussed. There are a lo...

Induction motors are widely used worldwide for domestic and industrial applications. Fault detection classification techniques based on signal analysis have increased in popularity due to the growing use of induction new technologies such as electric vehicles, automatic control, maintenance systems, inclusion renewable energy sources electrical among others. Hence, monitoring, fault detection, ...

Induction motors are widely used in both household and industrial application due to their high torque to volume ratio, ruggedness, robustness and low maintenance. Induction motor draws a