23-06-2012, 05:29 PM
Induction Motors Modeling and Fuzzy Logic Based Turn-To-Turn Fault Detection and Localization
Induction Motors Modeling.pdf (Size: 1.83 MB / Downloads: 32)
INTRODUCTION
Nowadays, electric motors are one of the most used equipments
in the industries. Taking this into account, the subjects
related to their protection against failures are highly important.
Preventive maintenance tools are developed aiming at increasing
of motor's useful life, reducing idling periods, avoiding
unnecessary disconnections, scheduling people availability to
the maintenance at the fault moment and reducing costs.
The key to reach the objective is the ability of fault's detection
at incipient stages, as that complete failures may quickly
occur after the initial failures development. These faults occur
due to stresses to which induction motors are, inevitably,
submitted. H. Bonnett and G. C. Soukup [1] described thermal,
electric, mechanic and ambient conditions that lead motors to
faults.
EXPERIMENTAL RESULTS AND MATHEMATICAL MODEL VALIDATION
The mathematical model validation process occurred
through an experimental induction motor especially designed
for insertion of shorted-turns in the stator's windings. Faults
in all phases and in different operating points were evaluated.
Voltages and currents values were acquired through the Lab-
View Software. Figure 4 shows the instrumental set up and
the prototype external connections.
CONCLUSIONS
In this work, the induction motors modeling in state variables
was proposed. The developed model was capable to sim-
According to the results achieved, it is been developed a
generic system for absolute values. The system will cover
the diagnosis of induction motors with different powers and
parameters.