Visualisation and Dimension Reduction of Acoustic Emission Data for Damage Detection
Source abstract
Abstract
This paper is concerned with the compression or dimensional reduction of a number of acoustic emission (AE) signals generated by damage to a structure, namely, a box girder from a bridge. The object of the exercise is to visualise the data and thereby associate clusters tothe measured AE bursts. These can be used tohelp interpret the signals. Two methods are used to reduce the dimension: principal component analysis and Sammon mapping.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Ultrasonics and Acoustic Wave Propagation · Non-Destructive Testing Techniques
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