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Identification of Weibull Distribution Parameters in the Presence of Noise

Gontarz S., Gumiński R.

Machine Dynamics Research

2016

Vol. 40, No. 3

41--52

Wear and tear processes, in combination with the dynamics of machines, are the source of many methods of technical objects diagnosis which are useful in practice. Unfortunately, generation of signals is inherently associated with generation of noise and disturbances, which makes the tasks of defining the symptoms and extraction of diagnostic information much more difficult. The article presents a proposal of implementation of a solution eliminating the noise while using the blind equalization method, while also presenting the influence that use of this method has influence on selected reliability characteristics.

Selecting the wind turbine for a particular geographic location using statistical methods

Tomczewski A.

Poznan University of Technology Academic Journals. Electrical Engineering

2011

No. 67-68

81-93

The paper describes the problem of selecting the wind turbine for a particular geographic location focusing on the obtained energetic effectiveness. Establishing its value requires determining the amount of electric energy generated by the turbine. There are three methods to determine the amount of energy that is generated by the turbine, two of them using a statistical mechanism connected with Weibull probability density distribution. Differences have been identified both in the input data for those methods as well as in the ways in which the distribution parameters are established: the shape parameter, k, and the scale parameter c. Test calculations were performed for four types of wind turbines. It was proven that using different methods of determining the Weibull distribution parameters affects the precision of the wind conditions mapping and the energy effectiveness of the turbine that is connected with it in a particular geographic location.