Advances in statistical monitoring of complex multivariate processes: with applications in industrial process control

The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike.  Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refin...

Descripción completa

Detalles Bibliográficos
Autores principales: Kruger, Uwe, Xie, Lei
Lenguaje:eng
Publicado: Wiley 2012
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1488519
_version_ 1780926291532316672
author Kruger, Uwe
Xie, Lei
author_facet Kruger, Uwe
Xie, Lei
author_sort Kruger, Uwe
collection CERN
description The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike.  Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering.  The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applica
id cern-1488519
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
publisher Wiley
record_format invenio
spelling cern-14885192021-04-22T00:10:51Zhttp://cds.cern.ch/record/1488519engKruger, UweXie, LeiAdvances in statistical monitoring of complex multivariate processes: with applications in industrial process controlComputing and Computers The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike.  Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering.  The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applicaWileyoai:cds.cern.ch:14885192012
spellingShingle Computing and Computers
Kruger, Uwe
Xie, Lei
Advances in statistical monitoring of complex multivariate processes: with applications in industrial process control
title Advances in statistical monitoring of complex multivariate processes: with applications in industrial process control
title_full Advances in statistical monitoring of complex multivariate processes: with applications in industrial process control
title_fullStr Advances in statistical monitoring of complex multivariate processes: with applications in industrial process control
title_full_unstemmed Advances in statistical monitoring of complex multivariate processes: with applications in industrial process control
title_short Advances in statistical monitoring of complex multivariate processes: with applications in industrial process control
title_sort advances in statistical monitoring of complex multivariate processes: with applications in industrial process control
topic Computing and Computers
url http://cds.cern.ch/record/1488519
work_keys_str_mv AT krugeruwe advancesinstatisticalmonitoringofcomplexmultivariateprocesseswithapplicationsinindustrialprocesscontrol
AT xielei advancesinstatisticalmonitoringofcomplexmultivariateprocesseswithapplicationsinindustrialprocesscontrol

Ejemplares similares