Abstract
Parameters of induction motor due to nonlinearity of magnetic circuit causes difficulties in their identification, therefore difference in experimental and simulation results is observed. In this study, demand of motor diagnostic is described, fault costs are analysed. Adaptive simulation model including comparison of simulated and experimental results is developed and presented. DOI: http://dx.doi.org/10.5755/j01.eee.20.4.6885
Highlights
An electrical drive is one of the most important and responsible elements [1] widely used in the industry
As it is possible to identify an operating drive, for example, controlled by frequency converter, it is possible to develop programmable model and afterwards, when drive is in use, measure and compare currents, voltages and speed transients of real drive with those got from the model and in this way obtain proper information about mismatching torque and rotational speed in real drive and model
Obtained parameters can identify some problems with bearings, vibrations, bandages, short-circuited windings and caused overheating or other problems. This information is very important in diagnostics of electrical drives
Summary
An electrical drive is one of the most important and responsible elements [1] widely used in the industry. From diagnostic history results engineers can get a lot of data for generation severe solutions about fault problem of the drive and prepare to repair it when is possible or manipulate with an operating drive (for example, to change speed, to go away from resonance frequencies) and to avoid the consequences of the failure. This can save a lot of money for companies in maintenance and availability of their. Detection of induction drive fault based on identification model has been investigated
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