Evaluation of the sensitivity of a vibroacoustic detection system for local disturbances of trunk pipeline environmental parameters

Epifantsev, B. N.; Pyatkov, A. A.; Fedotov, A. A.

doi:10.1134/s1061830915020035

Cited by 4 publications

(1 citation statement)

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“…One of the important and time-consuming stages in the development of information and control systems is the process of evaluating the effectiveness of the adopted technical solutions. This problem arises when designing specialized control and diagnostic systems, for example, implementing the method of active vibroacoustic control, which is used to detect unauthorized influences and defects on pipelines [1][2][3]. Currently, pipeline transport is one of the most reliable and economical means of continuous transportation of the pumped product stream over long distances.…”

Section: Introductionmentioning

confidence: 99%

Method of analytical modeling and simulation of technological processes subject to the influence of external factors

Denisova

Komarov²,

Meshcheryakov

2022

J. Phys.: Conf. Ser.

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The method of analytical modeling and simulation of technological processes is presented, which makes it possible to assess the influence of external factors on the operation of information and control systems. The application of this method to study the process of detecting pipeline defects by vibroacoustic control systems is considered. A mathematical model with automatic selection of the parameters of autocorrelation functions of random disturbances is proposed, which makes it possible to take into account the influence of natural and man-made noises on the detection process. The possibility of modeling the influence of random disturbances on the working processes of technological machines is also considered. The proposed simulation models are of practical value, since they allow one to study virtual prototypes of construction and road-building machinery in various modes and reduce the cost of performing expensive field experiments.

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Section: Introductionmentioning

confidence: 99%