Spectral Discrete Probability Density Function of Measured Wind Turbine Noise in the Far Field

Spectral Discrete Probability Density Function of Measured Wind Turbine Noise in the Far Field

Of interest is the spectral character of wind turbine noise at typical residential set-back distances. In this paper, a spectral statistical analysis has been applied to immission measurements conducted at three locations. This method provides discrete probability density functions for the Turbine ONLY component of the measured noise. This analysis is completed for one-third octave sound levels...

Wind Turbine Noise Issues

Wind turbine noise.

The evidence for adequate sleep as a prerequisite for human health, particularly child health, is overwhelming. Governments have recently paidmuch attention to the effects of environmental noise on sleep duration and quality, and to how to reduce such noise. However, governments have also imposed noise from industrial wind turbines on large swathes of peaceful countryside. The impact of road, r...

Improving Data-based Wind Turbine Using Measured Data Foggy Method

The purpose of this paper is to improve the modeling of the data-driven wind turbine system that receives data from noise signals. Most of the data on industrial systems is noisely and data noise is inevitable and natural. The method and idea proposed in this paper, Data Fogging, significantly reduce the impact of noise on data-driven wind turbine system modeling, which is the basis of this met...

A new probability density function in earthquake occurrences

Although knowing the time of the occurrence of the earthquakes is vital and helpful, unfortunately it is still unpredictable. By the way there is an urgent need to find a method to foresee this catastrophic event. There are a lot of methods for forecasting the time of earthquake occurrence. Another method for predicting that is to know probability density function of time interval between earth...