State management for process monitoring, diagnostics and optimization

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

Research output: Contribution to conferenceConference articleScientificpeer-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 languageEnglish
Number of pages4
Publication statusPublished - 1 Jan 2000
MoE publication typeNot Eligible
EventControl Systems 2000 'Quantifying the Benefits of Process Control' - Victoria, BC, Can
Duration: 1 May 20004 May 2000

Conference

ConferenceControl Systems 2000 'Quantifying the Benefits of Process Control'
CityVictoria, BC, Can
Period1/05/004/05/00

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  • Cite this

    Federley, M., Alhoniemi, E., Laitila, M., Suojarvi, M., & Ritala, R. (2000). State management for process monitoring, diagnostics and optimization. Paper presented at Control Systems 2000 'Quantifying the Benefits of Process Control', Victoria, BC, Can, .