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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...

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Detalles Bibliográficos
Autores principales: Kruger, Uwe, Xie, Lei
Lenguaje:eng
Publicado: Wiley 2012
Materias:
Acceso en línea:http://cds.cern.ch/record/1488519
Descripción
Sumario: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