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...
Κύριος συγγραφέας: | Chen, Zhiwen (Συγγραφέας) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Wiesbaden :
Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg,
2017.
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach
ανά: Shen, Qikun, κ.ά.
Έκδοση: (2017) -
Solving Fault Diagnosis Problems Linear Synthesis Techniques /
ανά: Varga, Andreas
Έκδοση: (2017) -
Data-Driven Design of Fault Diagnosis Systems Nonlinear Multimode Processes /
ανά: Haghani Abandan Sari, Adel
Έκδοση: (2014) -
Data-Driven Controller Design The H2 Approach /
ανά: Sanfelice Bazanella, Alexandre, κ.ά.
Έκδοση: (2012) -
Mono- and Multivariable Control and Estimation Linear, Quadratic and LMI Methods /
ανά: Ostertag, Eric
Έκδοση: (2011)