Cite

[1] WAEL, A. S.-DAHAMAN, I.-KHALEEL, J. H. : PWM Switching Strategy for Torque Ripple Minimization in BLDC Motor, Journal of Electrical Engineering 62 No. 3 (2011), 141-146.Search in Google Scholar

[2] MOHAMED, A. A.-EHAB, H. E. B.-HISHAM, M. S. : Adaptive Deadbeat Controllers for Brushless DC Drives using PSO and ANFIS Techniques, Journal of Electrical Engineering 60 No. 1 (2009), 3-11.Search in Google Scholar

[3] DRAŠNAR, P.-KUDL´A ˇC EK, J.-PEPELNJAK, T.-CAR, Z.-PAZDEROV´A, M. : Zinc-Polytetrafluoroethylene Composite Coating with Exploitable Tribological Properties, Journal of Engineering Technology 30, No. 1 (2013), 28-34.Search in Google Scholar

[4] RAJAGOPALAN, S.-HABETLER, T. G.-HARLEY, R. G.- ALLER, J. M.-RESTREPO, J. A. : Diagnosis of Rotor Faults in Brushless DC (BLDC) Motors Operating under Non-Stationary Conditions using Windowed Fourier Ridges, Industry Applications Conference, vol. 1, Fourtieth IAS Annual Meeting. Conference Record, 2-6 Oct. 2005, pp. 26-33.Search in Google Scholar

[5] RAJAGOPALAN, S.-RESTREPO, J. A.-ALLER, J. M.- HABETLER, T. G.-HARLEY, R. G. : Selecting Time-Frequency Representations for Detecting Rotor Faults in BLDC Motors Operating under Rapidly Varying Operating Conditions, IECON 2005 31st Annual Conference of IEEE, Industrial Electronics Society.10.1109/IECON.2005.1569314Search in Google Scholar

[6] RAJAGOPALAN, S. : Detection of Rotor and Load Faults in Brushless DC Motors Operating under Stationary and Nonstationary Conditions, Georgia Institute of Technology, https://smartech.gatech.edu/handle/1853/11524?show=full.Search in Google Scholar

[7] BAE, H.-KIM, S.-VACHTSEVANOS, G. : Fault Detection and Diagnosis of Winding Short in BLDC Motors based on Fuzzy Similarity, International Journal of Fuzzy Logic and Intelligent Systems 9 No. 2 (June 2009), 99-104.10.5391/IJFIS.2009.9.2.099Search in Google Scholar

[8] BAEK, G.-KIM, Y.-KIM, S. : Fault Diagnosis of Identical Brushless DC Motors under Patterns of State Change, Fuzzy Systems, 2008. FUZZ-IEEE 2008 (IEEE World Congress on Computational Intelligence), pp. 2083-2088.10.1109/FUZZY.2008.4630657Search in Google Scholar

[9] NIKITIN, Yu. : Development of Intellectual Mechanotronic Modules with Diagnostic Functions, Mechatronika 2009, Proceedings of 12th International Conference on Mechatronics, Trenˇcianske Teplice, Slovak Republic, 3-5.6.2009, pp. 133-137.Search in Google Scholar

[10] NIKITIN, Yu.-ABRAMOV, I. : Algorithms for Mechatronic Systems Diagnosing, AIM 2010, Proceeding of 5th International Symposium. Advances in Mechatronics, Dec 7-9 2010, pp. 60-62.Search in Google Scholar

[11] NIKITIN, Yu.-ABRAMOV, I. : Mechatronic Modules Diagnosis by Use of Fuzzy Sets, Mechatronika 2011, Proceedings of 14th International Conference on Mechatronics, Trenˇcianske Teplice, Slovakia, 2011, pp. 109-111.10.1109/MECHATRON.2011.5961091Search in Google Scholar

[12] NIKITIN, Yu.R.-ABRAMOV, I. V. : CNC Machines Diagnostics, Mechatronika 2010, Proceedings of 13th International Symposium on Mechatronics, June 2-4, 2010, pp. 89-91.Search in Google Scholar

[13] NIKITIN, Yu.R.-ABRAMOV, I. V. : Information Processes Models of Mechatronic Systems Diagnosis, University Review, vol. 5, 2011, pp. 12-16, http://www.tnuni.sk/fileadmin/dokumenty/univerzita/casopisy/universityreview/UR2011 01.pdf.Search in Google Scholar

[14] Site of software package “Simulation in technical devices” http://mvtu.power.bmstu.ru/. Search in Google Scholar

eISSN:
1339-309X
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other