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Data-Driven Design of Fault Diagnosis Systems
Adel Haghani Abandan Sari
€ 127.60
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Description for Data-Driven Design of Fault Diagnosis Systems
paperback. Num Pages: 136 pages, 39 black & white illustrations, 5 black & white tables, biography. BIC Classification: TBJ; TGP; TJFM. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 9. Weight in Grams: 216.
In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of ... Read more
In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
136
Condition
New
Number of Pages
136
Place of Publication
Weisbaden, Germany
ISBN
9783658058067
SKU
V9783658058067
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Adel Haghani Abandan Sari
Adel Haghani Abandan Sari is research assistant with Institute of Automation, university of Rostock. His research interests include data-driven process monitoring and fault-tolerant control with focus on large-scale industrial processes.
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