List of publications in 2020, in which our employees participated:
Vera Barat, Vladimir Bardakov, Denis Terentyev, Sergey Elizarov. Analytical Modeling of Acoustic Emission Signals in Thin-Walled Objects. Appl. Sci. 2020, 10(1), 279; DOI: 10.3390/app10010279 (full text). https://www.mdpi.com/2076-3417/10/1/279 (full text). eLibrary ID: 43236002
Abstract
For the effective detection of acoustic emission (AE) impulses against a noisy background, the correct assessment of AE parameters, and an increase in defect location accuracy during data processing are needed. For these goals, it is necessary to consider the waveform of the AE impulse. The results of numerous studies have shown that the waveforms of AE impulses mainly depend on the properties of the waveguide, the path along which the signal propagates from the source to the sensor. In this paper, the analytical method for modeling of AE signals is considered. This model allows one to obtain model signals that have the same spectrum and waveform as real signals. Based on the obtained results, the attenuation parameters of the AE waves for various characteristics of the waveguide are obtained and the probability of defect detection at various distances between the AE source and sensor utilized for evaluation.
Barat V.A., Fomin A.A., Zhgut D.A., Marchenkov A.Y. Advanced Method for Acoustic Emission Testing Data Analysis. International Journal of Scientific and Technology Research. 2020. Т. 9. № 2. С. 5489-5492. https://www.ijstr.org/final-print/feb2020/Advanced-Method-For-Acoustic-Emission-Testing-Data-Analysis.pdf (full text)
Abstract
The article deals with application of Data Mining techniques for the analysis of acoustic emission data. Association rules and decision trees application are considered for acoustic emission data structuring and classification.
Yelizarov S.V. A-Line family of autonomous systems for integrated monitoring of main gas pipelines. In: Improvement of reliability of main gas pipelines subject to stress corrosion cracking. V International Scientific and Technical Seminar. December 16-18, 2020. Moscow, 2020. С. 39. Gazprom. eLibrary ID: 44589350 (full text)
Abstract
The current level of development of telecommunications technologies and NDT tools allows receiving and processing a large array of diagnostic data from various facilities in real time, including facilities operated in harsh weather conditions on remote areas. Our company offers a broad range of monitoring solutions, including autonomous systems for diagnostics and monitoring of main gas pipelines. The monitoring should be construed as a specially organized systematic monitoring of both the pipeline itself and related utility structures. This monitoring is carried out continuously using a broad range of different types of sensors that record the characteristics of processes occurring in the material of structures and in the surrounding space. The monitoring system performs the following tasks: timely detection of defects in pipelines, their localization and tracking of the development of strain-stress state of pipelines and its monitoring in the areas of maximum stress concentration; monitoring of the efficiency of electrochemical protection of underground pipelines; acquisition and storage of data, the output of operational information to the control room, automation of data analysis and reduction of the role of the human factor in the evaluation of the results of the inspection, generation of an alarm about the upcoming abnormal situation and the need of unscheduled shutdown of pipelines.