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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Wiley
2012
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1488519 |
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 |
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