[1]
J.R. Cameron, W.A. Thomson, D. Dow, Vibration and current monitoring for detecting airgap eccentricity in large induction motors, IEE Proc. B 133 (1986) 155–163.
DOI: 10.1049/ip-b.1986.0022
Google Scholar
[2]
R.S. Cowan, W.O. Winer, Handbook of Technical Diagnostics: Fundamentals and Application to Structures and Systems: Machinery Diagnostics, Springer Berlin Heidelberg, 2013, p.387–410.
DOI: 10.1007/978-3-642-25850-3_19
Google Scholar
[3]
S.N. Dovban, O.V. Veselov, Technical diagnostics of electromechanical systems based on the analysis of distorted output signal, Automation and Remote Control 73(11) (2012) 1902–(1909).
DOI: 10.1134/s0005117912110112
Google Scholar
[4]
G. Fedorko, V. Molnar, D. Marasova, A. Grincova, M. Dovica, J. Zivcak, T. Toth, N. Husakova, Failure analysis of belt conveyor damage caused by the falling material, Part II: Application of computer metrotomography, Engineering Failure Analysis 34 (2013).
DOI: 10.1016/j.engfailanal.2013.09.016
Google Scholar
[5]
P. Božek, Automated Detection Type Body and Shape Deformation for Robotic Welding Line, Advances in Intelligent Systems and Computing 240 (2014) 229-240.
DOI: 10.1007/978-3-319-01857-7_22
Google Scholar
[6]
B. Micieta, V. Stollmann, Design and Improvement of Production Processes, Daaam international scientific book 2009, DAAAM International Vienna, Vienna 8 (2009).
DOI: 10.2507/daaam.scibook.2009.41
Google Scholar
[7]
A. Hughes, Electric motors and drives fundamentals, types and applications, Elsevier Linacre House, Oxford, (2006).
Google Scholar
[8]
R. Krishnan, Electric motor drives: modeling, analysis and control. Prentice Hall, Upper Saddle River, (2001).
Google Scholar
[9]
T.R. Kurfess, S. Billington, S.Y. Liang, Advanced Diagnostic and Prognostic Techniques for Rolling Element Bearings, in: Condition Monitoring and Control for Intelligent Manufacturing, Springer Series in Advanced Manufacturing, 2006: p.137–165.
DOI: 10.1007/1-84628-269-1_6
Google Scholar
[10]
M. Kvietková, Š. Barcík, Impact of technical-technological factors to accelerate the mechanical vibration during machining CNC milling machine, Enterprise Management, VPS Slovakia, (2014).
Google Scholar
[11]
Y.S. Lee, Y.W. Kim, Condition monitoring of induction motors for vertical pumps with the current and vibration signature analysis, Experimental analysis of nano and engineering materials and structures, Springer, Dordrecht, (2007).
DOI: 10.1007/978-1-4020-6239-1_208
Google Scholar
[12]
P. Božek, O. Moravčík, V. Štollmann, J. Šuriansky, V. Prajová, G. Waleková, Virtual program imported into the real technological workplace, in: DAAAM International symposium, Vienna, 2008: pp.0157-0158.
Google Scholar
[13]
S. Nandi, G.A. Toliyat, Condition monitoring and fault diagnosis of electrical machines - a review, 35th IEEE-IAS annual meeting l (1999) 197–204.
DOI: 10.1109/ias.1999.799956
Google Scholar
[14]
B. Raison, G. Rostaing, J.P. Rognon, Towards a global monitoring scheme for induction motor drives, in: International power electronics conference Tokio, Japan, 2000: p.1183–1188.
Google Scholar
[15]
P. Stepanov, Y. Nikitin, Diagnostics of Mechatronic Systems on the Basis of Neural Networks with High-Performance Data Collection, Mechatronics 2013: Recent Technological and Scientific Advances, Springer Intrenational Publishing Swizerland, 2014: p.433.
DOI: 10.1007/978-3-319-02294-9_55
Google Scholar
[16]
J.A. Swider, M.P. Hetmanczyk, The influence of the parameters selection on dynamics conditions at start-up and braking phases in case of AC drives, in: Dynamical systems applications, Lodz Technical University, Lodz, Poland, 2013: p.635–644.
Google Scholar
[17]
M. Hammer, M. Šimková, M. Ministr, Artificial Intelligence in Diagnostics of Electric Machines, Advances in Mechatronics (2010) 139–144.
DOI: 10.1007/978-3-642-05022-0_24
Google Scholar
[18]
M. Hammer, J. Ertl, O. Janda, Estimation of Reliability Characteristics of Power Oil Transformers, Engineering Mechanics 19(1) (2012) 61–73.
Google Scholar
[19]
Y.R. Nikitin, I.V. Abramov, CNC machines diagnostics, in: Proceedings 13-th International Simposium on Mechatronics, Trencianske Teplice, Slovakia, 2010: p.89–91.
Google Scholar
[20]
Y.R. Nikitin, I.V. Abramov, Mechatronic modules diagnosis by use of fuzzy sets, in: Proceedings of 14-th International Conference on Mechatronics, Trencianske Teplice, Slovakia, 2011: p.109–111.
DOI: 10.1109/mechatron.2011.5961091
Google Scholar