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