ISSN: 1451-4117
E-ISSN: 1821-31977
Volume 8 article 171 pages: 33-38
The wind power industry has experienced a large growth the past years. The growth mainly focus on a growing market, better economical conditions for wind power because of political decisions and the development of large wind turbines and offshore farms. A goal is to increase reliability for turbines. The topic is even more important for offshore farms where service is diffi cult and expensive. Applied condition monitoring techniques on sub system level (gearbox, pitch mechanism, i.e.) are producing useful information about the wind turbine. Normally this information is only used at the level of safeguarding. Exceeding of the alarm levels often simply results in a wind turbine shut down and waiting for remote restart or repair. By application of more advanced methods of signal analysis, focused on trends of representative signals or combination of signals, signifi cant changes in turbine behavior can be detected at an early stage. Because the approach is based on general turbine parameters, the information will also be of a global nature, so specifi c diagnostics cannot be expected. Thus, system for wind generator transmission gear vibration monitoring has been developed.
N. Matic, D. Andric, 2000 PIC mikrokontroleri, Mikroelektronika Beograd.
Milovancevic, M., Cvetkovic M.: Application of new microcontroller generation for pump aggregate working condition analyses, Istrayivanja i projektovanja za privredu, ISSN 1451- 4117 UDC 33. Br.23/24. 2009. pp. 35- 41, Belgrade 2009
Suh NP. Axiomatic Design: Advances and Applications. Oxford University Press, New York, NY, 2001
Milovancevic, M., Milenkovic D., Troha S.: The optimization of the vibrodiagnostic method applied on turbo machines. Transactions Of Famena XXXIII-3 (2009), Faculty of mechanical engineering and naval architecture, ISSN 1333-1124 pp. 63-71, Zagreb 2009.
Milovancevic, M., Andjelkovic B.: Wind turbine condition monitoring and control, Proc. of 3nd Internat. Conference POWER TRANSMISSIONS ’09. 1– 26 October, 2009. pp.85.-90. Chalkidiki, Greece
Andjelkovic B., Djokic V., Djokic N.: Contribution to friction coefficient modeling with fuzzy in wind generator power transmission, Internat. Conference POWER TRANSMISSIONS‘09, 1– 2 October, 2009. pp.627 632, Chalkidiki, Greece.
Andjelkovic B.: Researching and developing of new methods for calculation pressed assemblies by neural networks and fuzzy logic, doctoral thesis, Mechanical faculty, 2006, Nis.