Details

Title

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

Journal title

Archives of Electrical Engineering

Yearbook

2015

Volume

vol. 64

Issue

No 1 March

Authors

Keywords

DC motor ; diagnostic investigations ; FFT ; Bayes classifier

Divisions of PAS

Nauki Techniczne

Coverage

29-35

Publisher

Polish Academy of Sciences

Date

2015[2015.01.01 AD - 2015.12.31 AD]

Type

Artykuły / Articles

Identifier

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

Source

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

References

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.
×