Data-Driven Design of Fault Diagnosis Systems

Nonlinear Multimode Processes

  • Adel Haghani Abandan Sari

Table of contents

  1. Front Matter
    Pages I-XIX
  2. Adel Haghani Abandan Sari
    Pages 1-10
  3. Adel Haghani Abandan Sari
    Pages 11-30
  4. Adel Haghani Abandan Sari
    Pages 31-46
  5. Adel Haghani Abandan Sari
    Pages 47-63
  6. Adel Haghani Abandan Sari
    Pages 65-73
  7. Adel Haghani Abandan Sari
    Pages 75-86
  8. Adel Haghani Abandan Sari
    Pages 87-108
  9. Back Matter
    Pages 109-136

About this book


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 the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.


  • Process monitoring
  • Fault diagnosis and fault-tolerant control
  • Data-driven approaches and decision making

Target Groups

  • Graduate students and scientists of automatic control and process engineering
  • Engineers in field of process control and monitoring, mechatronic

About the Author

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.


Data-driven approaches Decision making Fault detection and diagnosis Process monitoring

Authors and affiliations

  • Adel Haghani Abandan Sari
    • 1
  1. 1.Inst. f. Informatik und ElektrotechnikUniversität RostockRostockGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Fachmedien Wiesbaden 2014
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Engineering
  • Print ISBN 978-3-658-05806-7
  • Online ISBN 978-3-658-05807-4
  • Buy this book on publisher's site
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