Journal Highly available systems №5 for 2018 г.
Article in number:
Parallel data preparation for the vibration protection characteristics calculation during flight testing
Type of article: scientific article
DOI: 10.18127/j20729472-201805-07
UDC: 621
Authors:

V.B. Mitenkov – Ph.D.(Eng.), Professor, Head of Laboratory, Gromov Flight Research Institute (Zhukovsky, Moscow region) E-mail: Anaida_s@mail.ru

K.A. Mitenkov – Research Engineer, Gromov Flight Research Institute (Zhukovsky, Moscow region)

E-mail: kmitenkov@gmail.com

V.I. Munerman – Ph.D.(Eng.), Associate Professor, Department of Informatics, Smolensk State University E-mail: vimoon@gmail.com

Abstract:

Optimization of algorithms for calculating reliable vibration protection characteristics is considered in the article. Various schemes of their calculations are investigated, the best from the point of view of parallel implementation. The initial data for the calculation are the time dependences of the input and output vibration effects read by the sensors during the flight and presented in a discrete form. As an imaging system, an experimental multistage stack is considered. At the stage of primary data preparation, the values of the multidimensional frequency matrix of the energy spectra are formed from the initial dependences of time X(t) and Y(t). The dimension of the matrix is determined by the following values: the number e of installed floors, the number of ninput X and l output Y sensors; the number h that make up the energy spectrum of frequencies; number of t time intervals. The five-dimensional matrix of the form WWenlht should be obtained as the result of processing the initial data. The elements of this matrix are the values of the energy spectrum. Based on this matrix, the remaining tasks of calculating the vibration protection characteristics are solved. The cluster (MPP) architecture of the software and hardware complex is proposed. It consists of their three-dimensional grid, the nodes of which are intelligent sensors, and host-computer. This architecture is oriented to the processing of multidimensional matrices. On its basis, it is possible to realize the primary processing and preparation of data in the form of multidimensional matrices, and the calculation of characteristics that allow making effective decisions in emergency cases.

Pages: 46-49
References
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Date of receipt: 6 декабря 2018 г.