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Zhiwen Chen - Data-Driven Fault Detection for Industrial Processes - 9783658167554 - V9783658167554
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Data-Driven Fault Detection for Industrial Processes

€ 104.57
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Description for Data-Driven Fault Detection for Industrial Processes Paperback. Num Pages: 112 pages, 39 black & white illustrations, biography. BIC Classification: TBJ; TD; TGPR; TJFM. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 7. Weight in Grams: 183.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2017
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
112
Condition
New
Number of Pages
112
Place of Publication
Weisbaden, Germany
ISBN
9783658167554
SKU
V9783658167554
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Zhiwen Chen
Zhiwen Chen’s research interests include multivariate statistical process monitoring, model-based and data-driven fault diagnosis as well as their application to industrial processes. He is currently working at the School of Information Science and Engineering at Central South University, China.

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