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The Scientific World Journal
Volume 2015 (2015), Article ID 296762, 8 pages
Research Article

Reliability Estimation of Parameters of Helical Wind Turbine with Vertical Axis

1Department of Manufacturing Engineering, Transilvania University of Brasov, 29 Eroilor Street, 500036 Brasov, Romania
2Department of Automotive and Transport Engineering, Transilvania University of Brasov, 1 Politehnicii Street, 500024 Brasov, Romania
3Department of Forest Engineering, Forest Management and Terrestrial Measurements, Transilvania University of Brasov, 1 Sirul Beethoven Street, 500123 Brasov, Romania

Received 29 July 2014; Accepted 17 November 2014

Academic Editor: Shuhuai Lan

Copyright © 2015 Adela-Eliza Dumitrascu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Due to the prolonged use of wind turbines they must be characterized by high reliability. This can be achieved through a rigorous design, appropriate simulation and testing, and proper construction. The reliability prediction and analysis of these systems will lead to identifying the critical components, increasing the operating time, minimizing failure rate, and minimizing maintenance costs. To estimate the produced energy by the wind turbine, an evaluation approach based on the Monte Carlo simulation model is developed which enables us to estimate the probability of minimum and maximum parameters. In our simulation process we used triangular distributions. The analysis of simulation results has been focused on the interpretation of the relative frequency histograms and cumulative distribution curve (ogive diagram), which indicates the probability of obtaining the daily or annual energy output depending on wind speed. The experimental researches consist in estimation of the reliability and unreliability functions and hazard rate of the helical vertical axis wind turbine designed and patented to climatic conditions for Romanian regions. Also, the variation of power produced for different wind speeds, the Weibull distribution of wind probability, and the power generated were determined. The analysis of experimental results indicates that this type of wind turbine is efficient at low wind speed.