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: e-Book
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2017.
Edition:1st ed. 2017.
Subjects:
Control engineering.
Engineering mathematics.
Engineering > Data processing.
Control and Systems Theory.
Mathematical and Computational Engineering Applications.
Online Access:Full-text access
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Table of Contents:
  • A New Index for Performance Evaluation of FD Methods
  • CCA-based FD Method for the Monitoring of Stationary Processes
  • Projection-based FD Method for the Monitoring of Dynamic Processes
  • Benchmark Study and Real-Time Implementation. .

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