Geometrical method of selection of features of diagnostic signals

Mechanical Systems and Signal Processing

Volumn 21, Issue 2, 2007, Pages 761-779

  Dybała, Jacek ^a   Radkowski, Stanisław ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Feature selection; Neural networks; Pattern recognition

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; DATA REDUCTION; NEURAL NETWORKS; PATTERN RECOGNITION;

DIAGNOSTIC SIGNALS; FEATURE SELECTION; GEOMETRICAL METHODS; TRAINING SETS;

SIGNAL PROCESSING;

EID: 33750504654     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2005.10.011     Document Type: Article

References (14)

1. Bonabeau E., Dorigo M., and Theraulaz G. From Natural to Artificial Swarm Intelligence (1999), Oxford University Press, New York
2. W. Cholewa, Inverse models and diagnostic modeling, third International Congress of Technical Diagnostics, DIAGNOSTICS'2004, Poznań, 06-09, 2004.
3. Cristianini N., and Shawe-Taylor J. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods (2005), Cambridge University Press, Cambridge
4. J. Dybała, Wykrywanie uszkodzeń w przekładni ze{ogonek}batej na podstawie analizy sygnału wibroakustycznego z wykorzystaniem modeli symulacyjnych. Rozprawa doktorska (Detection of defects in toothed gear based on vibroacoustic signal analysis relying on simulation models, Ph.D. Thesis), Warsaw University of Technology, Warsaw, 1999.
5. J. Dybała, S. Radkowski, Geometrical method of diagnostic information selection, third International Congress of Technical Diagnostics, DIAGNOSTICS'2004, Poznań, 06-09.09.2004.
6. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning (1989), Addison-Wesley, Reading, MA
7. Hecht-Nielsen R. Counterpropagation networks. Applied Optics 26 (1989) 4979-4984
8. Hecht-Nielsen R. Applications of counterpropagation networks. Neural Networks 1 (1988) 131-139
9. Kohavi R., and George H.J. Wrappers for features subset selection. Artificial Intelligence 97 (1997) 273-324
10. Looney C.G. Pattern Recognition Using Neural Networks (1997), Oxford University Press, New York
11. Sebestyen G.S. Decision Making Processes in Pattern Recognition (1962), Macmillan, New York
12. Shawe-Taylor J., and Cristianini N. Kernel Methods for Pattern Analysis (2004), Cambridge University Press, Cambridge
13. Sing-Tze Bow. Pattern Recognition and Image Preprocessing (2002), Marcel Dekker, Inc., New York and Basel
14. Vapnik V. Statistical Learning Theory (1998), Wiley, New York