Analysing printing press runnability by data mining

Markku Parola; Timo Kaljunen; Nikolai Beletsi; Juhani Paukku

Analysing printing press runnability by data mining

Markku Parola, Timo Kaljunen, Nikolai Beletsi, Juhani Paukku

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

7 Citations (Scopus)

Abstract

Abstract: Demand for better productivity of printing presses is one of the key topics in the publication industry. For a papermaker, this means increased demands for improved runnability of paper. Lots of measuring data is used for controlling the press but unfortunately this data is not normally stored for later usage. Paper mills do a huge amount of on-line and off-line measurements, which are normally used internally. In this study, a large amount of diversified printing press and paper mill measurements were collected and a database was created. The aim was to clarify the reasons for runnability problems occurring in the pressroom. Over 2000 customer reels were measured at a newspaper press. The software package created for data mining is introduced. Results from a long-term study, and the causes for runnability problems in the printing press, are presented in this paper.

Original language	English
Title of host publication	TAGA 2003 Proceedings
Publisher	TAGA
Publication status	Published - 2003
MoE publication type	Not Eligible
Event	55th Annual Technology Conference of the Technical Association of the Graphic Arts, TAGA 2003 - Montreal, Canada Duration: 6 Apr 2003 → 9 Apr 2003

Conference

Conference	55th Annual Technology Conference of the Technical Association of the Graphic Arts, TAGA 2003
Country/Territory	Canada
City	Montreal
Period	6/04/03 → 9/04/03

Keywords

runnability
data mining
statistical
analysis
press
paper
register

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@inproceedings{3035fcac51a04a37a5574d4073df08fb,

title = "Analysing printing press runnability by data mining",

abstract = "Abstract: Demand for better productivity of printing presses is one of the key topics in the publication industry. For a papermaker, this means increased demands for improved runnability of paper. Lots of measuring data is used for controlling the press but unfortunately this data is not normally stored for later usage. Paper mills do a huge amount of on-line and off-line measurements, which are normally used internally. In this study, a large amount of diversified printing press and paper mill measurements were collected and a database was created. The aim was to clarify the reasons for runnability problems occurring in the pressroom. Over 2000 customer reels were measured at a newspaper press. The software package created for data mining is introduced. Results from a long-term study, and the causes for runnability problems in the printing press, are presented in this paper.",

keywords = "runnability, data mining, statistical, analysis, press, paper, register",

author = "Markku Parola and Timo Kaljunen and Nikolai Beletsi and Juhani Paukku",

note = "No ISBN/ISSN found for the proceedings; 55th Annual Technology Conference of the Technical Association of the Graphic Arts, TAGA 2003 ; Conference date: 06-04-2003 Through 09-04-2003",

year = "2003",

language = "English",

booktitle = "TAGA 2003 Proceedings",

publisher = "TAGA",

}

TY - GEN

T1 - Analysing printing press runnability by data mining

AU - Parola, Markku

AU - Kaljunen, Timo

AU - Beletsi, Nikolai

AU - Paukku, Juhani

N1 - No ISBN/ISSN found for the proceedings

PY - 2003

Y1 - 2003

N2 - Abstract: Demand for better productivity of printing presses is one of the key topics in the publication industry. For a papermaker, this means increased demands for improved runnability of paper. Lots of measuring data is used for controlling the press but unfortunately this data is not normally stored for later usage. Paper mills do a huge amount of on-line and off-line measurements, which are normally used internally. In this study, a large amount of diversified printing press and paper mill measurements were collected and a database was created. The aim was to clarify the reasons for runnability problems occurring in the pressroom. Over 2000 customer reels were measured at a newspaper press. The software package created for data mining is introduced. Results from a long-term study, and the causes for runnability problems in the printing press, are presented in this paper.

AB - Abstract: Demand for better productivity of printing presses is one of the key topics in the publication industry. For a papermaker, this means increased demands for improved runnability of paper. Lots of measuring data is used for controlling the press but unfortunately this data is not normally stored for later usage. Paper mills do a huge amount of on-line and off-line measurements, which are normally used internally. In this study, a large amount of diversified printing press and paper mill measurements were collected and a database was created. The aim was to clarify the reasons for runnability problems occurring in the pressroom. Over 2000 customer reels were measured at a newspaper press. The software package created for data mining is introduced. Results from a long-term study, and the causes for runnability problems in the printing press, are presented in this paper.

KW - runnability

KW - data mining

KW - statistical

KW - analysis

KW - press

KW - paper

KW - register

M3 - Conference article in proceedings

BT - TAGA 2003 Proceedings

PB - TAGA

T2 - 55th Annual Technology Conference of the Technical Association of the Graphic Arts, TAGA 2003

Y2 - 6 April 2003 through 9 April 2003

ER -

Analysing printing press runnability by data mining

Abstract

Conference

Keywords

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