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Aldrich, Chris

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

Aldrich, Chris - Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods, ebook

129,65€

Ebook, PDF with Adobe DRM
ISBN: 9781447151852
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Table of contents

1. Introduction
Chris Aldrich, Lidia Auret

2. Overview of Process Fault Diagnosis
Chris Aldrich, Lidia Auret

3. Artificial Neural Networks
Chris Aldrich, Lidia Auret

4. Statistical Learning Theory and Kernel-Based Methods
Chris Aldrich, Lidia Auret

5. Tree-Based Methods
Chris Aldrich, Lidia Auret

6. Fault Diagnosis in Steady-State Process Systems
Chris Aldrich, Lidia Auret

7. Dynamic Process Monitoring
Chris Aldrich, Lidia Auret

8. Process Monitoring Using Multiscale Methods
Chris Aldrich, Lidia Auret

Keywords: Computer Science, Artificial Intelligence (incl. Robotics)

Author(s)
 
Publisher
Springer
Publication year
2013
Language
en
Edition
2013
Series
Advances in Computer Vision and Pattern Recognition
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9781447151852

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