N2 - In industrial processes electrical motors are serviced after a specific number of hours, even if there is a need for service. This led to the development of early fault diagnostic methods. Paper presents early fault diagnostic method of synchronous motor. This method uses acoustic signals generated by synchronous motor. Plan of study of acoustic signal of synchronous motor was proposed. Two conditions of synchronous motor were analyzed. Studies were carried out for methods of data processing: Line Spectral Frequencies and K-Nearest Neighbor classifier with Minkowski distance. Condition monitoring is useful to protect electric motors and mining equipment. In the future, these studies can be used in other electrical devices. L1 - http://www.czasopisma.pan.pl/Content/101445/PDF/04_paper.pdf L2 - http://www.czasopisma.pan.pl/Content/101445 PY - 2014 IS - No 2 EP - 194 DO - 10.2478/aoa-2014-0022 KW - acoustic signal KW - pattern analysis KW - synchronous motor KW - diagnostics A1 - Glowacz, Adam PB - Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics VL - vol. 39 DA - 2014 T1 - Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier SP - 189 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/101445 T2 - Archives of Acoustics