Szczegóły

Tytuł artykułu

Diagnostics of Induction Motor Based on Analysis of Acoustic Signals with the Application of Eigenvector Method and K-Nearest Neighbor Classifier

Tytuł czasopisma

Archives of Metallurgy and Materials

Rocznik

2012

Numer

No 2 June

Autorzy publikacji

Wydział PAN

Nauki Techniczne

Wydawca

Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Commitee on Metallurgy of Polish Academy of Sciences

Data

2012

Identyfikator

ISSN 1733-3490

Referencje

M. Dumitru Negrea, Electromagnetic Flux Monitoring for Detecting Faults in Electrical Machines, PhD. Dissertation, Helsinki University of Technology, 2006. ; Suliga M. (2011), The Influence of the High Drawing Speed on Mechanical-Technological Properties of High Carbon Steel Wires, Archives of Metallurgy and Materials, 56, 3, 823, doi.org/10.2478/v10172-011-0091-z ; Żaba K. (2010), The Influence of Temperature and Time of Exhibition on a Change of Al-Si Coating Thickness and Surface Texture on the Steel Plates, Archives of Metallurgy and Materials, 55, 1, 151. ; Derlecki S. (2010), Właściwości materiałów magnetycznych i ich wpływ na konstrukcję maszyn elektrycznych, Przegląd Elektrotechniczny (Electrical Review), 86, 4, 83. ; Madej M. (2010), The Tribological Properties of High Speed Steel based Composites, Archives of Metallurgy and Materials, 55, 1, 61. ; Gutten M. (2010), Thermal effects of short-circuit current on winding in transformer oil, Przegląd Elektrotechniczny (Electrical Review), 86, 3, 242. ; Glavas Z. (2010), The Prediction of the Microstructure Constituents of Spheroidal Graphite Cast Iron by Using Thermal Analysis and Artificial Neural Networks, Archives of Metallurgy and Materials, 55, 1, 213. ; Pawłowski B. (2010), The Effect of Non-Metallic Inclusions on Mechanical Properties of a Toughened Hypoeutectoid Low-Alloy Steel, Archives of Metallurgy and Materials, 55, 1, 117. ; Bogucki R. (2010), The Forming of High Mechanical Properties of low Carbon Copper Bearing Structural Steel, Archives of Metallurgy and Materials, 55, 1, 203. ; Krawczyk J. (2011), Tribological Properties of Tyre Steel in Rolling-Sliding Contact against Bainitic Rail Steel, Archives of Metallurgy and Materials, 56, 3, 709, doi.org/10.2478/v10172-011-0078-9 ; Głowacz Z. (2011), Automatic Recognition of Armature Current of DC Motor with Application of FFT and GS-DM, Archives of Metallurgy and Materials, 56, 1, 25, doi.org/10.2478/v10172-011-0003-2 ; Kurek J. (2010), Diagnostic feature selection for efficient recognition of different faults of rotor bars in the induction machine, Przegląd Elektrotechniczny (Electrical Review), 86, 1, 121. ; Sułowicz M. (2010), Specialized diagnostic system for induction motor, Przegląd Elektrotechniczny (Electrical Review), 86, 4, 285. ; Niedziejko P. (2011), Współczesne metody analizy dźwięku serca, Przegląd Elektrotechniczny (Electrical Review), 87, 9a, 1. ; <a target="_blank" href='http://www.mathworks.de/access/helpdesk/help/toolbox/signal/peig.html'>http://www.mathworks.de/access/helpdesk/help/toolbox/signal/peig.html</a> ; The MARF Development Group, Modular Audio Recognition Framework v.0.3.0-devel-20050606 and its Applications, Application note, Montreal, Quebec, Canada, 2005. ; Skrzat A. (2011), Fuzzy Logic Application to Strain-Stress Analysis in Selected Elastic-Plastic Material Models, Archives of Metallurgy and Materials, 56, 2, 559, doi.org/10.2478/v10172-011-0060-6 ; Pietrowski W. (2011), Application of Radial Basis Neural Network to diagnostics of induction motor stator faults using axial flux, Przegląd Elektrotechniczny (Electrical Review), 87, 6, 190. ; Mahdiyeh Eslami (2011), Hussain Shareef, Azah Mohamed, Application of artificial intelligent techniques in PSS design: a survey of the state-of-the-art methods, Przegląd Elektrotechniczny (Electrical Review), 87, 4, 188. ; Szczebiot R. (2011), Application of genetic algorithm for optimal placement of wind generators in the MV power grid, Przegląd Elektrotechniczny (Electrical Review), 87, 3, 198. ; Gomółka Z. (2011), Bezinwazyjna diagnostyka uzwojeń magnesujących przy użyciu sztucznych sieci neuronowych, Przegląd Elektrotechniczny (Electrical Review), 87, 8, 66.

DOI

10.2478/v10172-012-0039-y

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