Kniha Data-Driven Fault Detection for Industrial Processes Zhiwen Chen

Data-Driven Fault Detection for Industrial Processes

Canonical Correlation Analysis and Projection Based Methods

Autor: Zhiwen Chen
Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa v malom množstve
Odosielame za 13-18 dní
82.38
Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial p...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2017
Stránok
112
EAN
9783658167554
ISBN
3658167556
Enbook ID
15497388
Hmotnosť
1806
Rozmery
148 x 210 x 8

Kompletný popis

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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