15th European Maintenance Congress - Euromaintenance, Gothenburg (Sweden). 07-09 March 2000
Summary:
The use of wind is one of the most attractive sources of energy at the present moment and many new aerogenerators are being installed. They are young machines where the application of the correct maintenance will be very important of their long life. This paper presents the architecture of a predictive maintenance system based on artificial intelligent techniques. Its objective is a trouble free operation of the aerogenerators analysing on-line several variables representative of the health of different components.
Keywords: Predictive maintenance, diagnosis expert system, neural networks, health of components, aerogenerators
Publication date: 2000-03-07.
Citation:
M.A. Sanz-Bobi, M. García, J. del Pico, Artificial intelligence techniques for predictive maintenance of aerogenerators., 15th European Maintenance Congress - Euromaintenance, Gothenburg (Sweden). 07-09 March 2000.
