Automatic identification of modal parameters of dynamic systems based on vibration response

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Abstract

In this work, the algorithm determines the identification of modal parameters of engineering structures and buildings described as a linear dynamic time-invariant system in spatial change. Modal parameters are estimated on the basis of recorded vibration response under the assumption of random nature of the disturbing forces. The paper describes the features of the algorithm and provides references to relevant sources that allow a deeper understanding of the algorithm details. The paper proposes an approach to determining the values of modal parameters when performing a number of consecutive identifications, which can be further applied to automate the process for real-time operation or when processing the results of multiple testing. The algorithm allows you to obtain a stable model. The invariance of the system in time is a key factor that ensures the synthesis of mathematical models for ensuring the information security of the objects under consideration.

About the authors

Alexander A. Mayak

MIREA – Russian Technological University; Dynamic Systems LLC

Author for correspondence.
Email: alexmaiak@yandex.ru

postgraduate student, Department of Automatic Systems of the Institute of Artificial Intelligence

Russian Federation, Moscow; Moscow

Dmitry A. Akimov

MIREA – Russian Technological University

Email: akimov_d@mirea.ru
ORCID iD: 0000-0001-6889-618X
Scopus Author ID: 55531854400
ResearcherId: U-5717-2018

Cand. Sci. (Eng.), Laureate of the Government of the Russian Federation Prize in Science and Technology, associate professor, Department of Automatic Systems, Institute of Artificial Intelligence

Russian Federation, Moscow

Alexey S. Verkner

MIREA – Russian Technological University

Email: aleksverk@mail.ru
ORCID iD: 0000-0001-7269-4396
SPIN-code: 5575-7266

postgraduate student, assistant, Department of Automatic Systems, Institute of Artificial Intelligence

Russian Federation, Moscow

Ekaterina N. Matyukhina

MIREA – Russian Technological University

Email: makaterina_ski@mail.ru
SPIN-code: 7078-2329
Scopus Author ID: 56538724100
ResearcherId: T-1829-2017

Cand. Sci. (Eng.), Associate Professor, associate professor, Department of Intelligent Information Security Systems, Institute of Cybersecurity and Digital Technologies

Russian Federation, Moscow

Alexandra V. Volosova

Bauman Moscow State Technical University

Email: volosova@bmstu.ru
SPIN-code: 7973-5425
Scopus Author ID: 57437351400

Cand. Sci. (Eng.), Associate Professor, associate professor

Russian Federation, Moscow

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