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The paper deals with some problems of micro-electromechanical system design and testing. Design process of mechanical parts of this micro-systems is discussed. The role of modeling and simulation study for design of micro - systems including structural dynamic problems is presented. Uncertainty of the MEMS structures are common in typical design due to technological manufacturing process which is...
In the paper the inverse structural filter method is used for rail wheel system load reconstruction. In the first section the method is presented The method bases on structural filter coefficients identification. The filter, further is used for load estimation from the vibrations acceleration time histories. The tested method was verified with experimental data. Time histories used for verification...
Mode shape decoupling using wavelet transform has been applied to modal damping factor estimation. The connected method of Recursive Last Square and Wavelet Transform has been presented. The algorithm is verified on the simulation result for the two degree of freedom system with variable damping and real data. Digital Signal Processor has been used to the on - line modal parameter identification.
The paper presents the possibility of software implementation of the load identification algorithms in MATLAB environment. Three methods of the load identification on the basis of the response signal are presented, as well as their experimental verification on the laboratory object.
In this paper an application of time - frequency analysis technique for damping identification is presented. The continuous wavelet transform employed to decompose of the impulse response of structures into time - scale domain. Presented method is verified on simulation results for two degrees of freedom system with constant and variable damping.
In this article there is presented a method of a model order selection with the use of a self-organizing neural network that classifies data contained in a stabilization diagram. There is also shown a comparison between results of model order selection obtained with the use a neural network and results obtained with the use of the stabilization diagrams method. The method of model order selection...
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