Robust clustering of acoustic emission signals using neural networks and signal subspace projections

Eurasip Journal on Applied Signal Processing

Volumn 2003, Issue 3, 2003, Pages 276-286

  Emamian, Vahid ^a   Kaveh, Mostafa ^a   Tewfik, Ahmed H ^a   Shi, Zhiqiang ^b   Jacobs, Laurence J ^c   Jarzynski, Jacek ^b  

^a University of Minnesota   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c Georgia Institute of Technology   (United States)

Author keywords

Acoustic signals; Classification; Mechanical failure; Neural networks; PCA; RBF; SOM; Subspace projections

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; FOURIER TRANSFORMS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; PROJECTION SYSTEMS; SELF ORGANIZING MAPS; SIGNAL INTERFERENCE; SIGNAL PROCESSING;

SIGNAL SUBSPACE PROJECTIONS;

ACOUSTIC EMISSIONS;

EID: 0037358909     PISSN: 11108657     EISSN: None     Source Type: Journal    
DOI: 10.1155/S1110865703210027     Document Type: Article

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