Szczegóły publikacji

Opis bibliograficzny

Recognition of acoustic signals of loaded synchronous motor using FFT, MSAF-5 and LSVM / Adam GŁOWACZ // Archives of Acoustics ; ISSN 0137-5075. — 2015 — vol. 40 no. 2, s. 197–203. — Bibliogr. s. 202–203


Autor


Słowa kluczowe

signal processingfault detectionacoustic signalpattern recognitionloaded synchronous motor

Dane bibliometryczne

ID BaDAP90188
Data dodania do BaDAP2015-07-23
DOI10.1515/aoa-2015-0022
Rok publikacji2015
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaArchives of 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.

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