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The signal of wind turbine in vibration and noise testing is often very weak, and it subject to a variety of noise interference in the course of its transmission. The signal with the acceleration sensor caught is often manifested as the signal with weak characteristics in the context of strong noise. In signal analysis, signal de-noising is an indispensable key link. This paper adopting the Donoho's...
Modeling stock returns requires selections of appropriate input variables. For an Artificial Neural Network, the appropriate input variables have both linear and nonlinear functional relationship with stock returns as output variables. To capture the non-linear relationships, we propose Weierstrass theorem. However, to estimate the relationships for all possible combinations of input variables, especially...
Time synchronization has become an important and well-studied issue in wireless sensor network (WSN). Because of the physical characteristics of WSN such as resource limitation, dynamicity, and randomicity, building an efficient and accurate time synchronization model is a challenge. Most existing time synchronization model use first-order or second order model to describe the time variance. However,...
A finite element analysis (FEA) model of an air spring was carried out with the software ABAQUS to study the influence of cord fabric layer parameters on the elastic characteristic of air spring. The FEA model was builded and meshed meanwhile by writing program file. The cord fabric was simulated by rebar element. The compressed gas in the cavity of air spring was represented by the hydrostatic fluid...
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