Data-Driven Fault Detection for Industrial Processes Canonical Correlation Analysis and Projection Based Methods /

Data-Driven Fault Detection for Industrial Processes Canonical Correlation Analysis and Projection Based Methods /

Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been we...

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Bibliographic Details
Main Author: Chen, Zhiwen (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2017.
Subjects:
Engineering.
Applied mathematics.
Engineering mathematics.
Control engineering.
Control.
Appl.Mathematics/Computational Methods of Engineering.
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ΒΚΠ - Πατρα: ALFd

Holdings details from ΒΚΠ - Πατρα: ALFd
Call Number: 330.01 BAU
Copy 1 Available

ΒΚΠ - Πατρα: BSC

Holdings details from ΒΚΠ - Πατρα: BSC
Call Number: 330.01 BAU
Copy 2 Available
Copy 3 Available

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