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Bog, paperback Data-Driven Fault Detection for Industrial Processes af Zhiwen Chen

Data-Driven Fault Detection for Industrial Processes

- Canonical Correlation Analysis and Projection Based Methods

(Bog, paperback)

39 black & white illustrations, biography

39 black & white illustrations, biography

Produktdetaljer:

Sprog:
Engelsk
ISBN-13:
9783658167554
Sideantal:
112
Udgivet:
27-01-2017
Udgave:
1st ed. 2017
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Forlagets beskrivelse
39 black & white illustrations, biography
Bibliotekernes beskrivelse
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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