Statistical Methods in Signal Processing and Discrimination

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F10%3A00176093" target="_blank" >RIV/68407700:21340/10:00176093 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Statistical Methods in Signal Processing and Discrimination
Original language description
We deal with the classification of acoustic emission signals by means of Fuzzy Clustering, Model-Based Clustering and Support Vector Machines. These methods belong to a different group of methods of classification. The signals are compared by means of suitable parameters obtained directly from the signals and from normed frequency spectra. We also use phi-divergence distance measure between the normed signal spectrums as the additional attribute for the distinguishing between different signals. We are concerned with above mentioned methods of clustering, their comparisons and the selection of efficient classification parameters. We realize three experiments in the area of acoustic emission to test the proposed classification methods by means of laboratory data and also considering industrial data from the real life.
Czech name
—
Czech description
—

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SPMS 2010 Stochastic and Physical Monitoring Systems
ISBN
978-80-01-04641-8
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
—
Publisher name
ČVUT
Place of publication
Praha
Event location
Děčín
Event date
Jun 27, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—

Similar results(10)