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Diagnostics of separately excited DC motor based on analysis and recognition of signals using FFT and Bayes classifier
- Source :
- Archives of Electrical Engineering, Vol 64, Iss 1, Pp 29-35 (2015)
- Publication Year :
- 2015
- Publisher :
- Polish Academy of Sciences, 2015.
-
Abstract
- In this article results of diagnostic investigations of separately excited DC motor were presented. In diagnostics were applied a Fourier analysis method based on the fast Fourier transform (FFT) and a recognition method using Bayes classifier. In training process a set of the most important frequencies has been determined for which differences of corresponding signals in two states are the largest. Three categories of signals have been recognized in identification process: faultless state, state of the rotor broken one coil and state of the rotor shorted three coils.
Details
- Language :
- English
- ISSN :
- 23002506
- Volume :
- 64
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Archives of Electrical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.bfd003c079a8471aaa8eaf56d609bb38
- Document Type :
- article
- Full Text :
- https://doi.org/10.1515/aee-2015-0004