Detection mechanical fault of induction motor using harmonic current and sound acoustic

The maintenance and condition monitoring of induction machine are very important factors in saving cost and energy conservation in industries. This paper studied on a mechanical fault system using simulation and experimental detection of the eccentric fault in different levels of an induction motor. Analysis current signal and sound acoustic time-frequency domain with Fast Fourier applied to estimate fault harmonic signal, noise, caused by eccentricity. The comparison between the simulation and experimental base on criterion standard. The result shows that the faults increased proportionally in the eccentricity. To sum up, while the increase of harmonic current distortion in order 3rd, 5th, 7th and acoustic noise, also in analyzed fault, harmonic and acoustic noise is the relationship, an effect to a high-temperature efficiency of the induction motor will high-temperature efficiency of the induction motor will decreasing and energy consumption.