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In this paper, the diagnosis method based on wavelet and neural network is proposed. This method needs not to collect a large number of data, but simplifies the diagnostic process while ensuring the accuracy of diagnostic result. The three-phase stator current data were decomposed by db6 wavelet function. It does not require the introduction of additional detection equipment, but also avoid the intrusion...
This paper studies the application condition of linearized model uncertainty estimate numerically for the Magnetotelluric (MT) problem using Bayesian inference theory, based on a three layer case with different parameter combinations. The nonlinear uncertainty estimate is calculated with relatively intensive computation, via Markov chain Monte Carlo method of Metropolis Hastings, giving an unbiased...
In the two-dimensional geo-electric model, the tipper response of magnetotelluric(MT) depends on the numerical simulation TE mode. Firstly, the boundary value problem and variational problem were shown, and the finite element method was used for element subdivision, interpolation, integration and general synthesis. Secondly, the electric field value of each node was obtained through solving the complex...
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