Szczegóły publikacji
Opis bibliograficzny
Fault diagnostics of synchronous motor based on analysis of acoustic signals with the use of Haar Wavelet Transform and Nearest Mean classifier / Adam GŁOWACZ, Zygfryd GŁOWACZ [et al.] // Journal of Modern Engineering ; ISSN 2544-7327. — 2017 — vol. 1 no. 1, s. 4–8. — Bibliogr. s. 7–8, Abstr.
Autorzy (11)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 112205 |
|---|---|
| Data dodania do BaDAP | 2018-02-11 |
| Rok publikacji | 2017 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Journal of Modern Engineering |
Abstract
This paper presents a technique for fault diagnosis of synchronous motor. This technique used acoustic signals generated by synchronous motor. An analysis was carried out for three conditions of synchronous motor: faultless motor, motor with shorted stator coils, motor with one broken coil in stator circuit. Studies were carried out for methods of data processing: Haar Wavelet Transform and Nearest Mean classifier with Manhattan distance. Patterns creation process was carried out for 30 training samples of acoustic signals. Identification process used 72 test samples. The results of recognition were presented and discussed in the paper. The proposed approach based on computational methods is effective in detecting faults occurring in synchronous motor.