Szczegóły

Tytuł artykułu

Diagnostics of separately excited DC motor based on analysis and recognition of signals using FFT and Bayes classifier

Tytuł czasopisma

Archives of Electrical Engineering

Rocznik

2015

Wolumin

vol. 64

Numer

No 1 March

Autorzy

Słowa kluczowe

DC motor ; diagnostic investigations ; FFT ; Bayes classifier

Wydział PAN

Nauki Techniczne

Zakres

29-35

Wydawca

Polish Academy of Sciences

Data

2015[2015.01.01 AD - 2015.12.31 AD]

Typ

Artykuły / Articles

Identyfikator

DOI: 10.1515/aee-2015-0004 ; ISSN: 1427-4221 ; eISSN: 2300-2506

Źródło

Archives of Electrical Engineering; 2015; vol. 64; No 1 March; 29-35

Referencje

Zakrzewski (2002), Simulation of forces and field arising during power autotransformer fault due to electric arc in HV winding Transactions on Magnetics, IEEE, 38, 1153. ; Głowacz (2013), Detection of synchronous motor inter - turn faults based on spectral analysis of park ' s vector of Metallurgy and Materials, Archives, 58, 19. ; Dudek (2009), Neural network adaptation process effectiveness dependent of constant training data availability, Neurocomputing, 13, 3138, doi.org/10.1016/j.neucom.2009.03.017 ; Szymański (2008), Application of the Magnetic Field Distribution in Diagnostic Method of Special Construction Wheel Traction Motors Studies in Applied Electromagnetics and Mechanics Advanced Computer Techniques in Applied, Electromagnetics, 30, 449. ; Retana (2008), Analysis and Detection of Short Circuits in Fractional Horsepower Commutator Machines Conversion IEEE Transactions on, Energy, 23, 484. ; Głowacz (2013), Diagnostics of induction motor based on Spectral Analysis of Stator Current with Application of Backpropagation Neural Network of Metallurgy and Materials, Archives, 58, 561.
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