Unsupervised process monitoring and fault diagnoses with machine learning methods

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Unsupervised process monitoring and fault diagnoses with machine learning methods

Although this book is focused on the process industries, the methodologies discussed in the following chapters are generic and can in many instances be applied with little modification in other monitoring systems, including some of those concerned with structural health monitoring, biomedicine, envi...

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Bibliographic Details
Main Authors:	Aldrich, Chris, Auret, Lidia
Other Authors:	Sameer Singh
Format:	Book
Published:	Springer 2013
Subjects:	classification trees regression trees neural networks fault identification kernel-based methods fault detection
Online Access:	http://hdl.handle.net/20.500.11937/44434

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