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Unsupervised process monitoring and fault diagnosis with machine learning methods

This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-...

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Detalles Bibliográficos
Autores principales: Aldrich, Chris, Auret, Lidia
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1606351