@inproceedings{974a64e27d444fdf8f2cf2bd17b106a7,
title = "Signal monitoring using adaptive theshold classifier in pulp and paper processes",
abstract = "Typically in pulp and paper processes raw material quality variation due to seasonal deviations as well as measurement drifts cause difficulties in setting the tight alarm thresholds for quality and control measurements. By using adaptive thresholds, more sensitive measurement range and thus reduced quality variation can be achieved. In this paper, new adaptive classification algorithm is proposed and validated using simulated and real mill data.",
keywords = "adaptive systems, classification, monitoring, pulp industry, paper industry",
author = "Jukka Hiltunen and Manne Tervaskanto and Sauli Kivikunnas and Lauri Pohjanheimo and Janne Haltamo",
note = "DVD-ROM; 16th IFAC World Congress 2005 ; Conference date: 03-07-2005 Through 08-07-2005",
year = "2005",
doi = "10.3182/20050703-6-CZ-1902.01639",
language = "English",
isbn = "978-3-902661-75-3",
series = "IFAC Proceedings Volumes",
publisher = "Elsevier",
pages = "381--386",
booktitle = "Proceedings of 16th IFAC World Congress 2005",
address = "Netherlands",
}