Könyv Data-Driven Fault Detection for Industrial Processes Zhiwen Chen

Data-Driven Fault Detection for Industrial Processes

Canonical Correlation Analysis and Projection Based Methods

Szerző: Zhiwen Chen
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 11-15 napon belül
31 248 Ft
Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial p...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2017
oldal
112
EAN
9783658167554
ISBN
3658167556
Enbook ID
15497388
Súly
1806
Méretek
148 x 210 x 8

Teljes leírás

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 well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.

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