@ARTICLE{Glowacz_Adam_Recognition_2015,
 author={Glowacz, Adam},
 volume={vol. 40},
 number={No 2},
 journal={Archives of Acoustics},
 pages={197-203},
 howpublished={online},
 year={2015},
 publisher={Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics},
 abstract={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.},
 type={Artykuły / Articles},
 title={Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT, MSAF-5 and LSVM},
 URL={http://www.journals.pan.pl/Content/101383/PDF/06_paper.pdf},
 doi={10.1515/aoa-2015-0022},
 keywords={acoustic signal, fault detection, loaded synchronous motor, signal processing, pattern recognition},
}