Szczegóły publikacji
Opis bibliograficzny
DC motor fault analysis with the use of acoustic signals, coiflet wavelet transform, and K-nearest neighbor classifier / Adam GŁOWACZ // Archives of Acoustics ; ISSN 0137-5075. — 2015 — vol. 40 no. 3, s. 321-327. — Bibliogr. s. 326–327
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 91842 |
|---|---|
| Data dodania do BaDAP | 2015-09-30 |
| DOI | 10.1515/aoa-2015-0035 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Archives of Acoustics |
Abstract
This paper focuses on testing the monitoring system of the Direct Current motor. This system gives the possibility of diagnosing various types of failures by means of analysis of acoustic signals. The applied method is based on a study of acoustic signals generated by the DC motor. A study plan of the DC motor's acoustic signal was proposed. Studies were conducted for a faultless DC motor and Direct Current motor with 3 shorted rotor coils. Coiflet wavelet transform and K-Nnearest neighbor classifier with Euclidean distance were used to identify the incipient fault. This approach keeps the motor operating in acceptable condition for a long time and is also inexpensive.