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Screening Web Breaks in a Pressroom by Soft Computing
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2008 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

Web breaks are considered as one of the most significant runnability problems

in a pressroom. This work concerns the analysis of relation between various

parameters (variables) characterizing the paper, printing press, the printing

process and the web break occurrence. A large number of variables, 61 in

total, obtained off-line as well as measured online during the printing process

are used in the investigation. Each paper reel is characterized by a vector x

of 61 components.

Two main approaches are explored. The first one treats the problem as a

data classification task into "break" and "non break" classes. The procedures

of classifier training, the selection of relevant input variables and the selection

of hyper-parameters of the classifier are aggregated into one process based on

genetic search. The second approach combines procedures of genetic search

based variable selection and data mapping into a low dimensional space. The

genetic search process results into a variable set providing the best mapping

according to some quality function.

The empirical study was performed using data collected at a pressroom

in Sweden. The total number of data points available for the experiments

was equal to 309. Amongst those, only 37 data points represent the web

break cases. The results of the investigations have shown that the linear

relations between the independent variables and the web break frequency

are not strong.

Three important groups of variables were identified, namely Lab data

(variables characterizing paper properties and measured off-line in a paper

mill lab), Ink registry (variables characterizing operator actions aimed to

adjust ink registry) and Web tension. We found that the most important

variables are: Ink registry Y LS MD (adjustments of yellow ink registry

in machine direction on the lower paper side), Air permeability (character-

izes paper porosity), Paper grammage, Elongation MD, and four variables

characterizing web tension: Moment mean, Min sliding Mean, Web tension

variance, and Web tension mean.

The proposed methods were helpful in finding the variables influencing

the occurrence of web breaks and can also be used for solving other industrial

problems.

Place, publisher, year, edition, pages
Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data- och Elektroteknik (IDE) , 2008.
Keywords [en]
Printing press, Support vector machine, Web break, Genetic search, Data mining
Identifiers
URN: urn:nbn:se:hh:diva-1144Local ID: 2082/1523OAI: oai:DiVA.org:hh-1144DiVA, id: diva2:238362
Uppsok
Technology
Available from: 2008-02-25 Created: 2008-02-25 Last updated: 2008-02-25

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
  • rtf