N2 - This article discusses a system of recognition of acoustic signals of loaded synchronous motor. This software can recognize various types of incipient failures by means of analysis of the acoustic signals. Proposed approach uses the acoustic signals generated by loaded synchronous motor. A plan of study of the acoustic signals of loaded synchronous motor is proposed. Studies include following states: healthy loaded synchronous motor, loaded synchronous motor with shorted stator coil, loaded synchronous motor with shorted stator coil and broken coil, loaded synchronous motor with shorted stator coil and two broken coils. The methods such as FFT, method of selection of amplitudes of frequencies (MSAF-5), Linear Support Vector Machine were used to identify specific state of the motor. The proposed approach can keep high recognition rate and reduce the maintenance cost of synchronous motors. L1 - http://www.journals.pan.pl/Content/101383/PDF/06_paper.pdf L2 - http://www.journals.pan.pl/Content/101383 PY - 2015 IS - No 2 EP - 203 DO - 10.1515/aoa-2015-0022 KW - acoustic signal KW - fault detection KW - loaded synchronous motor KW - signal processing KW - pattern recognition A1 - Glowacz, Adam PB - Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics VL - vol. 40 DA - 2015[2015.01.01 AD - 2015.12.31 AD] T1 - Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT, MSAF-5 and LSVM SP - 197 UR - http://www.journals.pan.pl/dlibra/publication/edition/101383 T2 - Archives of Acoustics