In this paper, we propose an off-the-grid compressive sensing based method to detect brokenbar fault in squirrel-cage induction motors. To validate our method, we first build a dynamic model of squirrel-cage induction motor using multi-loop equivalent circuit to simulate motor current under fault conditions. We then develop an off-the-grid compressive sensing algorithm to extract the fault char...

Undesired secondary effects occurring at inerter-fed squirrel cage induction motors are investigated by a transient two-dimensional finite element analysis with coupled electrical circuits. Calculated time-dependent numerical courses are compared to measured ones. A novel and deeper insight into the invoked harmonic spectrum of the electrical stator current and the mechanical torque at the rota...

This paper presents a method based on neural networks to detect broken rotor bars and end rings in squirrel cage induction motors. In the first part, detection methods are reviewed and traditional methods of fault detection as well as dynamic model of induction motors are introduced using the winding function method. In this method, all stator and rotor bars are considered independently in ord...

This paper deals with the finite element analysis of a specific fault of the squirrel cage induction motors consisting in rotor bars breaking. Several variants of rotor bar faults are studied, using both quasi-static and transient magnetic field analyses. The numerical results in the reference case of healthy motor are experimentally validated by laboratory measurements.

1. Power consumption by electric motors Worldwide, about two-thirds of the electricity is consumed by motors used in powers industrial facilities. According to DOE report, the motor systems are responsible for 63% of all electricity consumed by U.S. industry and electric bill represents more than 97% of total motor operating costs. Rapidly increasing energy cost and strong global interest in re...