Using two-stage clustering of acoustic-emission signals for the detection of weld flaws
Source abstract
Abstract
A two-stage method for the clustering of acoustic-emission (AE) signals using their parameters and digitized shapes was considered. AE signals were initially clustered according to a set of their informative parameters; the primary clusters that were obtained using these parameters were then subjected to clustering using their digitized AE signal shape. The use of two-stage clustering for the processing of AE signals that were recorded at the moment of welding allowed the calculation time to be reduced without loss of localization accuracy.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Industrial Engineering and Technologies · Engineering and Environmental Studies · Geotechnical and Geomechanical Engineering
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References (5)
Show source-provided references
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