State management for process monitoring, diagnostics and optimization

Maija Federley; Esa Alhoniemi; Mika Laitila; Mika Suojarvi; Risto Ritala

State management for process monitoring, diagnostics and optimization

Maija Federley, Esa Alhoniemi, Mika Laitila, Mika Suojarvi, Risto Ritala

VTT Technical Research Centre of Finland

Oy Keskuslaboratorio - Centrallaboratorium Ab (KCL)

Research output: Contribution to conference › Conference article › Scientific › peer-review

Abstract

Prior to employing almost any data analysis, monitoring or diagnostics method it should be verified that the data have been collected from a process that is in a stationary state. In this paper, results from a study to distinguish discrete states from measurements of a paper making process using cluster analysis are presented. The tools developed may be utilized to confirm the stationarity as well as for process analysis and benchmarking.

Original language	English
Number of pages	4
Publication status	Published - 1 Jan 2000
MoE publication type	Not Eligible
Event	Control Systems 2000 'Quantifying the Benefits of Process Control' - Victoria, BC, Can Duration: 1 May 2000 → 4 May 2000

Conference

Conference	Control Systems 2000 'Quantifying the Benefits of Process Control'
City	Victoria, BC, Can
Period	1/05/00 → 4/05/00

Cite this

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title = "State management for process monitoring, diagnostics and optimization",

abstract = "Prior to employing almost any data analysis, monitoring or diagnostics method it should be verified that the data have been collected from a process that is in a stationary state. In this paper, results from a study to distinguish discrete states from measurements of a paper making process using cluster analysis are presented. The tools developed may be utilized to confirm the stationarity as well as for process analysis and benchmarking.",

author = "Maija Federley and Esa Alhoniemi and Mika Laitila and Mika Suojarvi and Risto Ritala",

year = "2000",

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note = "Control Systems 2000 'Quantifying the Benefits of Process Control' ; Conference date: 01-05-2000 Through 04-05-2000",

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TY - CONF

T1 - State management for process monitoring, diagnostics and optimization

AU - Federley, Maija

AU - Alhoniemi, Esa

AU - Laitila, Mika

AU - Suojarvi, Mika

AU - Ritala, Risto

PY - 2000/1/1

Y1 - 2000/1/1

N2 - Prior to employing almost any data analysis, monitoring or diagnostics method it should be verified that the data have been collected from a process that is in a stationary state. In this paper, results from a study to distinguish discrete states from measurements of a paper making process using cluster analysis are presented. The tools developed may be utilized to confirm the stationarity as well as for process analysis and benchmarking.

AB - Prior to employing almost any data analysis, monitoring or diagnostics method it should be verified that the data have been collected from a process that is in a stationary state. In this paper, results from a study to distinguish discrete states from measurements of a paper making process using cluster analysis are presented. The tools developed may be utilized to confirm the stationarity as well as for process analysis and benchmarking.

UR - http://www.scopus.com/inward/record.url?scp=0033702877&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0033702877

T2 - Control Systems 2000 'Quantifying the Benefits of Process Control'

Y2 - 1 May 2000 through 4 May 2000

ER -

State management for process monitoring, diagnostics and optimization

Abstract

Conference

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