Increasing the reliability of the detection of flaws in complex structures by integrating the information of multiparametric nondestructive testing
Source abstract
Abstract
The basic principles and methods for integrating information from multiparametric nondestructive testing for the purpose of detecting anomalies, flaws, and damage in different objects and structures are considered. Some experimental data and the results of the development of algorithms for the integration of nondestructive testing techniques that are aimed at solving formulated problems on the basis of telescoping-effect estimation methods and the construction of the multidimensional analogues of inverse probability methods are cited.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Non-Destructive Testing Techniques · Material Properties and Failure Mechanisms · Engineering Diagnostics and Reliability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (17)
Show source-provided references
1. Makhutov, N.A., Analiz i upravlenie bezopasnost’yu tekhnicheskikh ob”ektov na osnove kontsentratsii riskov (Analysis and Safety Control of Technical Objects on the Basis of Risk Concentration), Moscow: Nauch.-prom. soyuz “RISKOM”, 2011, pp. 2–5.
2. Makhutov, N.A. and Gadenin, M., Integrated Nondestructive Testing. Diagnostics of Materials and Structures at Different Stages of Their Life Cycle, Tekhnadzor, 2011, no. 5, pp. 46–48.
3. Troitskii-Markov, T.E., Grunin, I.Yu., Bud’ko, V.B., and Krainii, V.I., Passage to New-Generation Systems for Monitoring the Integrated Safety of Building Objects, in Predotvrashchenie avarii zdanii i sooruzhenii (Prevention of Failures of Buildings and Constructions), Eremin, K.I., Ed., Magnitogorsk: Magnitogorskii dom pechati, 2010, vol. 9, pp. 300–316.
4. Budadin, O.N. and Troitskii-Markov, T.E., Technology of the Integrated Nondestructive Testing of Buildings and Building Constructions, Stroit. Mater. XXI Veka (Materialy, Oborudovanie, Tekhnologii), 2004, vol. 62, no. 3, pp. 48–50.
5. Capineri, L., Falorni, P., Ivashov, S., Zhuravlev, A., et al., Combined Holographic Subsurface Radar and Infrared Thermography for Diagnosis of the Conditions of Historical Structures and Artworks, Geophys. Res. Abstr., 2009, vol. 11, abstract no. EGU2009-5343-2.
6. RF Patent 2255368, 2005.
7. RF Patent 2038595, 1995.
8. RF Patent 2177144, 2001.
9. RF Patent 2334262, Byull. Izobret., 2008, no. 26.
10. RF Patent 2394227, Byull. Izobret., 2010, no. 19.
11. RF Patent 2156496, 2000.
12. RF Patent 2271560, 2006.
13. RF Patent 2254602, 2005.
14. Yella, S., Dougherty, M.S., and Gupta, N.K., Artificial Intelligence Techniques for the Automatic Interpretation of Data from Non-Destructive Testing, Insight Non-Destr. Test. Cond. Monitor., 2006, vol. 48, no. 1, pp. 10–20.10.1784/insi.2006.48.1.10 ↗
15. Kuznetsov, O.L. and Nikitin, A.A., Geoinformatika (Geoinformatics), Moscow: Nedra, 1992.
16. Fomin, Ya.A. and Tarlovskii, G.R., Statisticheskaya teoriya raspoznavaniya obrazov (Statistical Theory of Pattern Recognition), Moscow: Radio i svyaz’, 1986.
17. Sosulin, Yu.G., Teoreticheskie osnovy radiolokatsii i radionavigatsii (Theoretical Foundations of Radiolocation and Radionavigation), Moscow: Radio i svyaz’, 1992.