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The virtual prototype of modified planetary transmission was established by using the parametric modeling techniques in PTC Creo Parametric. The meshing stiffness is calculated according to the relative parameters and material property of the modified gears. The dynamic modal analysis was done in virtue of finite element model of the planetary gears in ANSYS, obtained the natural frequency and corresponding...
Due to the complex structure of the transmission system in wind turbine, the current research is on dynamics simulation of the by using ADAMS and continues analysis of bifurcation and chaos of the responses are carried out for better understanding relationship between the dynamic behavior and its status. The results showed that the dynamic model is reliable to learn the periodicity of the system caused...
According to the tire inflation pressure changes leading to tire vertical stiffness variation, formulas including tire inflation pressure, load, rolling radius and tire footprint width are deduced. And determine wheel speed sensor numerical value as the critical parameter of predicting tire pressure change. The tire pressure monitoring test is designed and carried out, and the correctness of the algorithm...
Fault prediction is the key technology for ensuring safe operation and scientific maintenance of large equipment. As the running of flue gas turbine has nonlinear characteristics, echo state network (ESN) was introduced to predict the condition trend of the turbine. Singular value decomposition was used to improve the linear regression algorithm of ESN, and the prediction workflow was given. Condition...
In the light of the characteristics of Elman neural network model which can be approximate to the arbitrary non-linear function and its ability to reflect the dynamic characteristics of the system, this paper provides a state prediction model of flue gas turbine by applying Elman neural network and makes prediction of the overall vibration value. Compared to traditional static BP network prediction...
To lighten load of central management components, keep independency of resource providers in storage grids, and let providers gain corresponding reward, this paper introduces intelligent agents using competitive bidding mechanism in storage grids management model. In this paper, a sequence diagram and bidding strategy used by agents is given firstly, and then linear programming is used to get optimal...
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