Details

Title

Diagnostics of DC Machine Based on Analysis of Acoustic Signals with Application of MFCC and Classifier Based on Words

Journal title

Archives of Metallurgy and Materials

Yearbook

2012

Numer

No 1 March

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

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

Date

2012

Identifier

ISSN 1733-3490

References

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 ; Toshiji Kato (2007), Automatic Fault Di Diagnosis Method of Electrical Machinery and Apparatus by Using Kohonen's Self-Organizing Map, null, 1224. ; Głowacz Z. (2011), Automatic Recognition of Armature Current of DC Motor with Application of FFT and GSDM, 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. ; Ganchev T. (null), Comparative evaluation of various MFCC implementations on the speaker verification task, null, 1, 191. ; M. Slaney, Auditory Toolbox. Version 2, Technical Report #1998-010, Interval Research Corporation, 1998. ; 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), 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/v10172-012-0007-6

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