DocumentCode :
2668670
Title :
Fuzzy gate based feature detection
Author :
Söderholm, Kaj ; Ihalainen, Heimo ; Ritala, Risto
Author_Institution :
Meas. & Inf. Technol., Tampere Univ. of Technol., Finland
fYear :
1999
fDate :
1999
Firstpage :
545
Lastpage :
549
Abstract :
In this paper a method called fuzzy gates is presented for signal feature detection. The principle of gate based feature detection is briefly discussed. A MATLAB(R)-based tool for performing signal feature detection is then presented. Finally, an application of the method is demonstrated in an analysis of the reason for causing paper web breaks. The need for deeper understanding of the early stages of paper making (paper web formation in the wet end of the paper machine) and the need of visualization are the main objective the method described
Keywords :
feature extraction; fuzzy set theory; paper industry; process control; signal detection; MATLAB; feature detection; fuzzy gates; paper machine; paper making; process control; signal detection; Computer languages; Computer vision; Feature extraction; Information technology; Paper making machines; Production; Shape; Signal analysis; Signal detection; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5256-4
Type :
conf
DOI :
10.1109/IDC.1999.754214
Filename :
754214
Link To Document :
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