Open Access
| Issue |
E3S Web Conf.
Volume 480, 2024
II International Scientific and Practical Conference “Energy, Ecology and Technology in Agriculture” (EEA2023)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 8 | |
| Section | Energy, Problems of the Fuel and Energy Complex and Earth Science | |
| DOI | https://doi.org/10.1051/e3sconf/202448001005 | |
| Published online | 18 January 2024 | |
- Analysis of the causes of accidents at power plants controlled by Rostechnadzor bodies for 2021, Ministry of Energy of the Russian Federation, http://szap.gosnadzor.ru/activity/energonadzor/nesc_sluch/ [Google Scholar]
- The act of technical investigation of the causes of the accident at the Sayano- Shushenskaya HPP on August 17, 2009, http://www.gosnadzor.ru/news/aktSSG_bak.doc [Google Scholar]
- GOST R 52330-2005, National standard of the Russian Federation. The control is nondestructive. Control of the stress-strain state of industrial and transport facilities. General requirements, Electronic fund of legal and regulatory documents, https://docs.cntd.ru/document/1200039616 [Google Scholar]
- GOST R 53966-2010, National standard of the Russian Federation. The control is nondestructive. Control of the stress-strain state of the structural material. General requirements for the procedure for selecting methods, Electronic Fund of legal and regulatory documents, https://docs.cntd.ru/document/1200082717 [Google Scholar]
- GOST R 52731-2007, The control is non-destructive. Acoustic method of control of mechanical stresses. General requirements, Electronic Fund of legal and regulatory documents, https://docs.cntd.ru/document/1200051032 [Google Scholar]
- GOST R ISO 24497-2-2009, The control is non-destructive. The method of magnetic memory of metal. Part 2. General requirements, Electronic fund of legal and regulatory and technical documents, https://docs.cntd.ru/document/1200075955 [Google Scholar]
- GOSTR 58599-2019, Technical diagnostics. Diagnostics of steel structures. Magnetic coercimetric method. General requirements, Electronic fund of legal and regulatory documents, https://docs.cntd.ru/document/1200168809/titles [Google Scholar]
- M.G. Bashirov, I.G. Khusnutdinova, The use of electromagnetic-acoustic method for estimating the stress-strain state of the metallic elements of power equipment, Key Engineering Materials, 743, 463-467 (2017) [CrossRef] [Google Scholar]
- M.G. Bashirov, E.M. Bashirova, I.G. Khusnutdinova, The dynamic identification of the technical condition of pipelines on the basis of the analysis of the temporal characteristics of electromag-netic-acoustic signal, IOP Conf. Series: Materials Science and Engineering, 511, 012042 (2019) [CrossRef] [Google Scholar]
- A.L. Uglov, A.A. Khlybov, A.L. Bychkov, M.O. Kuvshinov, On non-destructive testing of residual stresses in axisymmetric form parts made of steel 03N17K10V10MT, Bulletin of M.T. Kalashnikov IzhSTU, 22, 4, 3-9 (2019) [Google Scholar]
- М. Ducousso, F. Reverdy, Real-time imaging of microcracks on metallic surface using total focus-ing method and plane wave imaging with Rayleigh waves, NDT & E International, 116, 102311 (2020) [CrossRef] [Google Scholar]
- C. Jiang, Z. Li, Z. Zhang, S. Wang, New Design to Rayleigh Wave EMAT Based on Spatial Pulse Compression. Sensors (Basel), 23, 8, 3943 (2023) [CrossRef] [PubMed] [Google Scholar]
- N.P. Aleshin, Investigation of the detectability of surface volumetric defects during ultrasound control using Rayleigh waves generated by an electro-magnetic-acoustic transducer, Flaw detection, 5, 22-30 (2021) [Google Scholar]
- S. Wang, S. Huang, Q. Wang, L. Peng, W. Zhao, Accelerated optimiza-tions of an electromagnetic acoustic transducer with artificial neural networks as metamodels, J. Sens. Sens. Syst., 6, 269-284 (2017) https://doi.org/10.5194/jsss-6-269-2017 [CrossRef] [Google Scholar]
- V.V. Muravyev, A.Yu. Budrin, M.A. Sintsov, Structuroscopy of thermally treated steel rods by the propagation velocity of Rayleigh waves, Intelligent systems in production, 18, 2, 37-20 (2020) [Google Scholar]
- W. Guo, Z. Yu, H.C. Chui, X. Chen, Development of DMPS-EMAT for LongDistance Monitoring of Broken Rail, Sensors (Basel), 23, 12, 5583 (2023) https://doi.org/10.3390/s23125583 [CrossRef] [PubMed] [Google Scholar]
- M.G. Bashirov, I.G. Khusnutdinova, L.G. Khusnutdinova, D.R. Usmanov, Electromagnetic-acoustic method for assessing the technical condition of power equipment, Industrial power engineering, 12, 8-13 (2016) [Google Scholar]
- M.G. Bashirov, E.M. Bashirova, I.G. Yusupova, D.Sh. Akchurin, Investigation of ways to increase the efficiency of electro-magnetic-acoustic transformation of diagnostic tools for energy equipment, Industrial power engineering, 10, 2-9 (2022) [Google Scholar]
- M.G. Bashirov, E.M. Bashirova, I.G. Yusupova, V.O. Dratsky, A.I. Murtazina, S.A. Kvachinsky, Modeling and experimental investigation of the influence of mechanical stresses and metal damage of oil and gas equipment on the parameters of electromagnetic-acoustic transformation, Oil and gas research, 21, 1, 183-194 (2023) [Google Scholar]
- G.K. Ayazyan, V.R. Khorobrov, R.M. Galiev, Method of identification of dynamic characteristics of objects with a delay, Automation and metrological support in the oil industry: Interuniversity scientific collection (UNI Publishing House, Ufa, 1980) [Google Scholar]
- Yu.I. Ogorodnikov, The problem of parametric identification of models of controlled dynamic systems as a problem of moments, Modern technologies. System analysis, Modeling, 56, 4, 33-40 (2017) [Google Scholar]
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