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