Szczegóły publikacji

Opis bibliograficzny

Diagnostics of rotor damages of three-phase induction motors using acoustic signals and SMOFS-20-EXPANDED / Adam GŁOWACZ // Archives of Acoustics ; ISSN 0137-5075. — 2016 — vol. 41 no. 3, s. 507–515. — Bibliogr. s. 513–515. — Publikacja dostępna online od: 2016-10-27


Autor


Słowa kluczowe

induction motoracoustic emissionfault diagnosticsacoustic signalmachine

Dane bibliometryczne

ID BaDAP100534
Data dodania do BaDAP2016-09-29
Tekst źródłowyURL
DOI10.1515/aoa-2016-0049
Rok publikacji2016
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaArchives of Acoustics

Abstract

A fault diagnostics system of three-phase induction motors was implemented. The implemented system was based on acoustic signals of three-phase induction motors. A feature extraction step was performed using SMOFS-20-EXPANDED (shortened method of frequencies selection-20-Expanded). A classification step was performed using 3 classifiers: LDA (Linear Discriminant Analysis), NBC (Naive Bayes Classifier), CT (Classification Tree). An analysis was carried out for incipient states of three-phase induction motors measured under laboratory conditions. The author measured and analysed the following states of motors: healthy motor, motor with one faulty rotor bar, motor with two faulty rotor bars, motor with faulty ring of squirrel-cage. Measured and analysed states were caused by natural degradation of parts of the machine. The efficiency of recognition of the analysed states was good. The proposed method of fault diagnostics can find application in protection of three-phase induction motors.

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artykuł
Recognition of acoustic signals of induction motors with the use of MSAF10 and bayes classfier / A. GŁOWACZ // Archives of Metallurgy and Materials / Polish Academy of Sciences. Committee of Metallurgy. Institute of Metallurgy and Materials Science ; ISSN 1733-3490. — 2016 — vol. 61 no 1, s. 153–157. — Bibliogr. s. 156–157
artykuł
Acoustic based fault diagnosis of three-phase induction motor / Adam GŁOWACZ // Applied Acoustics ; ISSN 0003-682X. — 2018 — vol. 137, s. 82–89. — Bibliogr. s. 88–89, Abstr.