ART-2 artificial neural networks applications for classification of vibration signals and operational states of wind turbines for intelligent monitoring

• Autorzy: Barszcz T. , Bielecki A. , Wójcik M , Bielecka M.
• Języki publikacji: EN

Abstrakty

EN

In recent years wind energy is the fastest growing branch of the power generation industry. The largest cost for the wind turbine is its maintenance. A common technique to decrease this cost is a remote monitoring based on vibration analysis. Growing number of monitored turbines requires an automated way of support for diagnostic experts. As full fault detection and identification is still a very challenging task, it is necessary to prepare an “early warning” tool, which would focus the attention on cases which are potentially dangerous. There were several attempts to develop such tools, in most cases based on various classification methods. As the ART neural networks are capable to perform efficient classification and to recognize new states when necessary, they seems to be a proper tool for classification of vibration signals of bearing in gears in wind turbines. The verification of ART-2 networks efficiency in this task is the topic of this paper.

Słowa kluczowe

EN

wind turbines; monitoring; ART neural network

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2013
• Tom: Vol. 14, No. 4
• Strony: 21--26
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Barszcz T.

• AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, al.Mickiewicza 30, 30-059 Cracow, Poland

autor

Bielecki A.

• AGH University of Science and Technology, Faculty of Electrotechnics, Automation, Computer Science and Biomedical Engineering, al. Mickiewicza 30, 30-059 Cracow, Poland

autor

Wójcik M

• Jagiellonian University, Faculty of Physics, Astronomy and Applied Computer Science, ul. Reymonta 4, 30-059 Cracow, Poland

autor

Bielecka M.

• AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protectional.Mickiewicza 30, 30-059 Cracow, Poland

Bibliografia

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