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Adam Deptuła, Dariusz Kunderman, Piotr Osiński, Urszula Radziwanowska and Radosław Włostowski

parametric modeling approach, Mechanical Systems and Signal Processing, 22, 1495-1514. 12. Głowacz A. (2014), Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier, Archives of Acoustics, 39, 2, 189-194. 13. Głowacz Z., Kozik J. (2013), Detection of synchronous motor inter-turn faults based on spectral analysis of park’s vector, Archives of Metallurgy and Materials, 58, 1, 19-23. 14. Kirpluk M. (2012), Fundamentals of acoustics [in

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Adam Glowacz

, Symmetry-Basel, 7, 4, 1670-1698. 16. Hemmati F., Alqaradawi M., Gadala MS. (2016), Rolling element bearing fault diagnostics using acoustic emission technique and advanced signal processing, Proceedings of the Institution of Mechanical Engineers Part J-Journal of Engineering Tribology, 230 , 1, 64-77. 17. Hwang DH., Youn VW., Sun JH., Choi KH., Lee JH., Kim VH. (2015), Support Vector Machine Based Bearing Fault Diagnosis for Induction Motors Using Vibration Signals, Journal of Electrical Engineering & Technology, 10, 4, 1558

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Adam Glowacz

Niezawodnosc - Maintenance and Reliability, 15, 2, 156-160. 9. Glowacz A., Glowacz Z. (2012), Diagnostics of DC machine based on analysis of acoustic signals with application of MFCC and classifier based on words, Archives of Metallurgy and Materials, 57, 1, 179-183. 10. Glowacz A., Glowacz A., Korohoda P. (2014a), Recognition of Monochrome Thermal Images of Synchronous Motor with the Application of Binarization and Nearest Mean Classifier, Archives of Metallurgy and Materials, 59, 1, 31-34. 11. Glowacz A., Glowacz A., Glowacz Z. (2014b), Recognition of monochrome

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A. Głowacz and Z. Głowacz

of DC Motor with Application of FFT and GSDM, Archives of Metallurgy and Materials 56 , 1, 25-30 (2011). J. Kurek, S. Osowski, Diagnostic feature selection for efficient recognition of different faults of rotor bars in the induction machine, Przegląd Elektrotechniczny (Electrical Review) 86 , 1, 121-123 (2010). M. Sułowicz, D. Borkowski, T. Węgiel, K. Weinreb, Specialized diagnostic system for induction motor, Przegląd Elektrotechniczny (Electrical Review) 86 , 4, 285-291 (2010). P

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Zbigniew Dabrowski, Jacek Dziurdz and Dorota Górnicka

References 1. Batko W., Dabrowski Z., Kicinski J. (2008), Nonlinear Effects in Technical Diagnostics, Publishing and Printing House of the Institute for Sustainable Technologies - NRI, Radom. 2. Batko W., Dabrowski Z., Engel Z., Kicinski J., Weyna S. (2006), Modern Methods of Research Vibroacoustic Processes [in Polish: Nowoczesne metody badania procesów wibroakustycznych], Publishing and Printing House of the Institute for Sustainable Technologies- NRI, Radom. 3. Bendat J.S., Piersol A.G. (2010), Random data

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Marek Salamak and Rafał Żuchowski

, Proceedings of international conference 13th International Multidisciplinary Scientific Conference SGEM 2013, Albena, 2013, Vol.1, pp. 265-272. [5] SALAMAK M., WESELI J., RADZIECKI R.: Monitoring of highway bridges in areas under mining influence. Proceedings of international conference 5th International Conference on Current and Future Trends in Bridge Design, Construction and Maintenance, 17-18 Sept., Beijing, p. 469-478, 2007. [6] SALAMAK M., DULAK L., BĘDKOWSKI P., ŻUCHOWSKI R.: Selection, maintenance and acoustic diagnostics of the bridge dilatations on

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A. Głowacz

, 25-30 (2011). J. Kurek, S. Osowski, Diagnostic feature selection for efficient recognition of different faults of rotor bars in the induction machine, Przegląd Elektrotechniczny (Electrical Review) 86 , 1, 121-123 (2010). M. Sułowicz, D. Borkowski, T. Węgiel, K. Weinreb, Specialized diagnostic system for induction motor, Przegląd Elektrotechniczny (Electrical Review) 86 , 4, 285-291 (2010). P. Niedziejko, A. Dobrowolski, I. Krysowaty, Współczesne metody analizy dźwięku serca, Przegląd

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Adam Deptuła, Piotr Osiński and Urszula Radziwanowska

, 1495-1514. 11. Głowacz A. (2014), Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier, Archives of Acoustics, 39, 2, 189-194. 12. Głowacz A. (2015), Recognition of acoustic signals of synchronous motors with the use of MoFS and selected classifiers, Measurement Science Review, 15, 4, 167175. 13. Głowacz A., Głowaczw. (2010), Diagnostics of synchronous motor based on analysis of acoustic signals with application of LPCC and

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Michał Kunicki, Andrzej Cichoń and Sebastian Borucki

References 1. Błachowicz A., Boczar T.,Wotzka D. (2016), Application of a mobile system in diagnostics of power capacitors using the acoustic emission method, Insight, 58, 2. 2. Boczar T., Malec T., Wotzka D. (2012), Studies on infrasound noise emitted by wind turbines of large power, Acta Physica Polonica A, 122, 850-853. 3. Bolin L. (1979), A model for estimating the signal from an acoustic emission source, Ultrasonics, 17, 67-70. 4. Cichoń A., Borucki S., Wotzka D., Szmajda M. (2012

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A. Glowacz

(1), 31-34. [11] Glowacz, A. (2014). Diagnostics of synchronous motor based on analysis of acoustic signals with the use of line spectral frequencies and K-nearest neighbor classifier. Archives of Acoustics, 39 (2), 189-194. [12] Glowacz, W. (2013). Diagnostics of induction motor based on spectral analysis of stator current with application of backpropagation neural network.Archives of Metallurgy and Materials, 58 (2), 559-562. [13] Glowacz, Z., Kozik, J. (2013). Detection of synchronous motor inter-turn faults based