Detecting hazardous sources of acoustic-emission signals using the estimated energy of clusters
Source abstract
Abstract
A method for detecting hazardous sources of acoustic-emission (AE) signals by the level of their energy activity using clustering by digitized signal shape was considered. The influence of the distance between a source and an AE transducer on the energy of recorded AE signals was analyzed. The energy distribution median of signals in a cluster was proposed for evaluating the hazard of an AE signal source. The application of the developed method was tested based on the example of the analysis of AE inspection data on the welding of steel specimens with incomplete fusion and a crack at the root of a weld seam. This testing confirms the results of the fractographic inspection of a defective weld seam.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Engineering and Environmental Studies · Engineering Diagnostics and Reliability · Material Properties and Failure Mechanisms
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (4)
Show source-provided references
1. Ser’eznov, A.N., Stepanova, L.N., Lebedev, E.Yu., et al., Acoustic-Emission Study of the Possibilities of Localizing Flaws of a Weld Joint during Cooling, Defektoskopiya, 2009, no. 5, pp. 25–33 [Russ. J. Nondestr. Test. (Engl. Transl.), 2009, vol. 45, no. 5, pp. 310–316].10.1134/S1061830909050039 ↗
2. Stepanova, L.N., Lebedev, E.Yu., Kabanov, S.I., et al., Acoustic-Emission Quality Inspection of a Welded Seam during Its Cooling, Kontrol’. Diagnostika, 2009, no. 3., pp. 61–67.
3. Stepanova, L.N., Ser’eznov A.N., Kabanov S.I., et al., RF Patent 2300761, Byull. Izobret., 2007, no. 2.
4. Pugachev, V.S., Teoriya veroyatnostei i matematicheskaya statistika (Probability Theory and Mathematical Statistics), Moscow: Fizmatlit, 2002.