An L-band geophysical model function is developed using Japanese Earth Resources Satellite-1 (JERS-1) synthetic aperture radar (SAR) data. First, we estimate the SAR system noise, which has been a serious problem peculiar to the JERS-1 SAR. It is found that the system noise has a feature common in all the SAR images and that the azimuth-averaged profile of noise can be expressed as a parabolic ...

This paper treats an induction machine as a wind power generator, and voltage deviation due to wind velocity change is simulated by a dynamic stability calculation program. The ac bus voltage connected to the wind generator highly depends on the wind velocity variation. Then author actually measured the wind velocity which is used for the simulation. This paper shows 1 second sampling data of t...

15 16 Site-and time-specific wind field characteristics have a significant impact on the 17 structural response and the lifespan of wind turbines. This paper presents a machine 18 learning approach towards analyzing and predicting the response of a wind turbine 19 structure to diurnal and nocturnal wind fields. Machine learning algorithms are applied (i) 20 to better understand the changes of w...

This paper demonstrates the application of multiple imputations by chained equations and time series forecasting of wind speed data. The study was motivated by the high prevalence of missing wind speed historic data. Findings based on the fully conditional specification under multiple imputations by chained equations, provided reliable wind speed missing data imputations. Further, the forecasti...

lack of fire behavior studies and the immediate needs posed by the extent of the fire problem in forests of iran require that extensive studies be conducted to develop models to predict fire behavior in the region.in this study, farsite fire area simulator was applied to simulate spread and behavior of two real fires that had occurred in northern forests of iran during 2010 summer and fall seas...

With an annual growth rate of about 30%, wind energy systems, such as wind turbines, represent one of the fastest growing renewable energy technologies. Continuous structural health monitoring of wind turbines can help improving structural reliability and facilitating optimal decisions with respect to maintenance and operation at minimum associated life-cycle costs. This paper presents an integ...

Two new parameters (W6H and W6V) were defined that represent brightness temperature increments for different low-frequency channels due to ocean wind. We developed a new wind speed retrieval model inside hurricanes based on W6H and W6V using brightness temperature data from AMSR-E. The AMSR-E observations of 12 category 3–5 hurricanes from 2003 to 2011 and corresponding data from the H*wind ana...

The next generation wind turbine systems become more and more complex, which requires a more accurate fault detection method to ensure their efficiency. On a wind farm, sibling turbines should see similar wind speed if they both work normally. Based on this, we design wind speed difference tests to detect both hard failures and soft failures, including anemometer faults. In such tests, it is cr...

To study the applicability of geostatistics for vector data, wind velocity data have been analyzed statistically and geostatistically. The study area consists of two districts, the mountainous Chubu and plain Kanto districts in central Japan. For the distribution of wind speeds, exponential distribution was fitted well in both districts. Temporal experimental variograms of wind speeds, directio...

The relationship between ocean wind vectors and L-band normalized radar cross sections (NRCS) is comprehensively examined to propose an L-band model function by using the Phased-Array L-band Synthetic Aperture Radar (PALSAR) and scatterometer wind data. Based on more than 90,000 match-ups, the L-band NRCS dependence on wind speed, incidence angle, and relative wind direction is modeled for the ...