Szczegóły publikacji
Opis bibliograficzny
Detection of short-circuits of DC motor using thermographic images, binarization and K-NN classifier — Otkrivanje kratkih spojeva istosmjernog motora primjenom termografskih slika, binarizacije i K-NN klasifikatora / Adam GŁOWACZ, Andrzej GŁOWACZ, Zygfryd GŁOWACZ // Tehnički Vjesnik = Technical Gazette ; ISSN 1330-3651. — 2017 — vol. 24 no. 4, s. 1013–1018. — Bibliogr. s. 1016–1018
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 107899 |
|---|---|
| Data dodania do BaDAP | 2017-10-06 |
| Tekst źródłowy | URL |
| DOI | 10.17559/TV-20150924194102 |
| Rok publikacji | 2017 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Tehnički Vjesnik=Technical Gazette |
Abstract
Many fault diagnostic methods have been developed in recent years. One of them is thermography. It is a safe and non-invasive method of diagnostic. Fault diagnostic method of incipient states of Direct Current motor was described in the article. Thermographic images of the commutator of Direct Current motor were used in an analysis. Two kinds of thermographic images were analysed: thermographic image of commutator of healthy DC motor, thermographic image of commutator of DC motor with shorted rotor coils. The analysis was carried out for image processing methods such as: extraction of magenta colour, binarization, sum of vertical pixels and sum of all pixels in the image. Classification was conducted for K-Nearest Neighbour classifier. The results of analysis show that the proposed method is efficient. It can be also used for diagnostic purposes in industrial plants.