Acoustic emission classification using signal subspace projections


In using acoustic emissions (AE) for mechanical diagnostics, one major problem is the differentiation of events due to crack growth in a component from noise of various origins. This work presents two algorithms for automatic clustering and separation of AE events based on multiple features extracted from experimental data. The first algorithm consists of… (More)
DOI: 10.1109/ICASSP.2001.940369


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