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Data-Driven Design of Fault Diagnosis Systems

Nonlinear Multimode Processes

  • Book
  • © 2014

Overview

Authors:
  1. Adel Haghani Abandan Sari

    1. Inst. f. Informatik und Elektrotechnik, Universität Rostock, Rostock, Germany

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  • Publication in the field of technical sciences

  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-XIX
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  2. Introduction

    • Adel Haghani Abandan Sari
    Pages 1-10

  3. An overview of fault diagnosis techniques

    • Adel Haghani Abandan Sari
    Pages 11-30

  4. Fault detection in multimode nonlinear systems

    • Adel Haghani Abandan Sari
    Pages 31-46

  5. Fault detection in multimode nonlinear dynamic systems

    • Adel Haghani Abandan Sari
    Pages 47-63

  6. Fault diagnosis in multimode nonlinear processes

    • Adel Haghani Abandan Sari
    Pages 65-73

  7. Bayesian approach for fault treatment

    • Adel Haghani Abandan Sari
    Pages 75-86

  8. Application and benchmark study

    • Adel Haghani Abandan Sari
    Pages 87-108

  9. Back Matter

    Pages 109-136
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Keywords

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.

Authors and Affiliations

  • Inst. f. Informatik und Elektrotechnik, Universität Rostock, Rostock, Germany

    Adel Haghani Abandan Sari

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.

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