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Projekt: Statistiska metoder för förbättring av kontinuerliga tillverkningsprocesser
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-3911-8009
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
2015 (Swedish)Other (Other (popular science, discussion, etc.))
Place, publisher, year, pages
2015.
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-36205Local ID: a9a43d65-7a28-4786-8f63-29139eb455f4OAI: oai:DiVA.org:ltu-36205DiVA: diva2:1009462
Note

Publikationer: Impact of Autocorrelation on Principal Components and Their Use in Statistical Process Control; Analysis of an unreplicated 2^2 factorial experiment performed in a continuous process; The Effect of Autocorrelation on the Hotelling T2 Control Chart; Measurement System Analysis of Railway Track Geometry Data using Secondary Data; Lag Structure in Dynamic Principal Component Analysis; A two-step procedure for fault detection in the Tennessee Eastman Process simulator; Status: Pågående; Period: 01/01/2014 → 31/12/2018

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-10-19Bibliographically approved

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http://www.ltu.se/research/subjects/Kvalitetsteknik/Forskningsprojekt/Statistiska-metoder-for-forbattring-av-kontinuerliga-tillverkningsprocesser-1.147237

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Kulahci, MuratBergquist, BjarneVanhatalo, ErikCapaci, Francesca
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CiteExportLink to record
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  • de-DE
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