Nikolic, V. and Petkovic, D. and Por, L. Y. and Shamshirband, S. and Zamani, M. (2016) Potential of neuro-fuzzy methodology to estimate noise level of wind turbines. Mechanical Systems and Signal Processing, 66-67 . pp. 715-722. ISSN 0888-3270
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
Wind turbines noise effect became large problem because of increasing of wind farms numbers since renewable energy becomes the most influential energy sources. However, wind turbine noise generation and propagation is not understandable in all aspects. Mechanical noise of wind turbines can be ignored since aerodynamic noise of wind turbine blades is the main source of the noise generation. Numerical simulations of the noise effects of the wind turbine can be very challenging task. Therefore in this article soft computing method is used to evaluate noise level of wind turbines. The main goal of the study is to estimate wind turbine noise in regard of wind speed at different heights and for different sound frequency. Adaptive neuro-fuzzy inference system (ANFIS) is used to estimate the wind turbine noise levels.
Item Type: | Article |
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Uncontrolled Keywords: | Acoustic noise, Aerodynamics, Electric utilities, Fuzzy inference, Fuzzy systems, Soft computing, Turbomachine blades, Wind, Wind power, ANFIS, Neuro-Fuzzy, Noises assessment, Sound power levels, Wind turbine noise, Wind turbines |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Advanced Informatics School |
ID Code: | 71751 |
Deposited By: | Widya Wahid |
Deposited On: | 16 Nov 2017 06:20 |
Last Modified: | 16 Nov 2017 06:20 |
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