The software support for an identification of stochastically loaded parts of mechanically structures
Applied and Computational Mechanics, Vol. 1, No. 2, pp. 515 - 520
B. Leitner (corresponding author:  Bohus.Leitner@fsi.uniza.sk )
Abstract:

The paper deals with one of possible ways of an identification of stochastically loaded mechanically structures. The purpose of this approach is to find an algorithm of a forecasting control of their working in real working conditions. It deals with a proposal of an application of vector time series moving average models (VARMA). Their parameters are possible to determine using the nonlinear modification of the least squares method. The paper contains a theoretical principle of problems solved and a description of a real testing methodise. There is added a brief interpretation of results of used software verification.

Keywords:

mechanically structure, working conditions, stochastic load, identification, modelling, vector autoregressive model VARMA, virtual model of crane jib, software support - ArmaGet, Excel, ARMASA Package

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