The article presents the results of the analysis of the properties of disordered structures in hydrodynamic acoustics, associated with the process of detecting physical phenomena and marine objects based on the results of their mechanical impact on the marine environment, in which acoustic vibrations propagate. If vortices, attractors, fractals arise as a result of complex interactions of forces of nature (upwellings, seiches, Coriolis forces, currents, convection flows, rotation of the Earth) and are essentially mechanical effects on the environment of formation and propagation of an acoustic field, then mechanical sources of sound introduced into the hydrosphere (water) should repeat fractal iterations on a smaller scale at the sound field level. Recognizing the equations of hydrodynamics (the equation of motion, the equation of continuity, and the equation of state) as the fundamental equations of hydroacoustics, the nonlinearity of these equations is proposed to be considered the theory of the hydroacoustic field as nonlinear, and the linearity of the processes in this study is considered a special case. The principle of superposition also becomes a special case, and the Fourier transform, remaining necessary, loses its sufficiency. Fractal analysis in combination with wavelet analysis should be involved to help him

Citation: Plotkina V., Alifanov R.N., Starodubtsev P.A. Model research of technologies for creating the perforated design of the aircraft cover,

Currently, the threat of sabotage at hydraulic structures such as bridges, dams, oil rigs, etc. has increased. In this regard, the creation of effective hydroacoustic monitoring systems is an urgent task. Aggregation (from Latin: аgrego) means a combination of individual elements into a single entity. In relation to the problem considered, this term refers to the combination of states of an object or, more precisely, a group of objects that possess common properties. The article presents an aggregation method using a single criterion which characterizes the minimum of information loss

The probability of a false alarm in the measuring unit of the hydroacoustic monitoring system can be reduced if the primary identification of the signal source is carried out. For this purpose, it is necessary to provide for the presence of noise portraits of targets in the database node. The signals from the pre-amplifier output of the measuring unit are compared with the signals stored in the database by calculating the standard deviation. The signal with the minimum deviation and its corresponding source are determined. Comparison of signals can be made by calculating the correlation function. This article presents the results of computer simulation of the primary classification unit of the measuring unit in the MATLAB&SIMULINK system. The compared signals are represented in the time domain

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