Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT, MSAF-5 and LSVM

• Autorzy: Glowacz A.

Identyfikatory

DOI

10.1515/aoa-2015-0022

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

acoustic signal; fault detection; loaded synchronous motor; signal processing; pattern recognition

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2015
• Tom: Vol. 40, No. 2
• Strony: 197--203
• Opis fizyczny: Bibliogr. 47 poz., rys., tab., wykr., fot.

Twórcy

autor

Glowacz A.

• AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Krakow, Poland

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