Abstract
This paper focuses on testing the monitoring system of the Direct Current
motor. This system gives the possibility of diagnosing various types of
failures by means of analysis of acoustic signals. The applied method is
based on a study of acoustic signals generated by the DC motor. A study
plan of the DC motor’s acoustic signal was proposed. Studies were
conducted for a faultless DC motor and Direct Current motor with 3 shorted
rotor coils. Coiflet wavelet transform and K-Nnearest neighbor classifier
with Euclidean distance were used to identify the incipient fault. This
approach keeps the motor operating in acceptable condition for a long time
and is also inexpensive.
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