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Intelligent Systems in Technical and Medical Diagnostics

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Jozef Korbicz

    1. , Institute of Control and, University of Zielona Gora, Zielona Gora, Poland

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  2. Marek Kowal

    1. , Institute of Control and, University of Zielona Gora, Zielona Gora, Poland

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  • Presents the results of the 11th International Conference on "Diagnostics of Processes and Systems" (DPS), held in Lagow Lubuski, Poland, September 8-11, 2013
  • Presents recent results for Intelligent Systems in Technical and Medical Diagnostics
  • Written by leading experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 230)

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About this book

For many years technical and medical diagnostics has been the area of intensive scientific research. It covers well-established topics as well as emerging developments in control engineering, artificial intelligence, applied mathematics, pattern recognition and statistics. At the same time, a growing number of applications of different fault diagnosis methods, especially in electrical, mechanical, chemical and medical engineering, is being observed. This monograph contains a collection of 44 carefully selected papers contributed by experts in technical and medical diagnostics, and constitutes a comprehensive study of the field. The aim of the book is to show the bridge between technical and medical diagnostics based on artificial intelligence methods and techniques. It is divided into four parts:

         I.   Soft Computing in Technical Diagnostics,

       II.   Medical Diagnostics and Biometrics,

     III.   Robotics and Computer Vision,

      IV.   Various Problems of Technical Diagnostics.

The monograph will be of interest to scientists as well as academics dealing with the problems of designing technical and medical diagnosis systems. Its target readers are also junior researchers and students of computer science, artificial intelligence, control or robotics.

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Keywords

Table of contents (44 papers)

  1. Front Matter

    Pages 1-12
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  2. Soft Computing in Technical Diagnostics

    1. Front Matter

      Pages 1-1
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    2. Bridges between Diagnosis Theories from Control and AI Perspectives

      • L. Travé-Massuyès
      Pages 3-28

    3. Diagnosis of Actuator Parameter Faults in Wind Turbines Using a Takagi-Sugeno Sliding Mode Observer

      • Sören Georg, Horst Schulte
      Pages 29-40

    4. Takagi-Sugeno Sliding Mode Observer with a Weighted Switching Action and Application to Fault Diagnosis for Wind Turbines

      • Sören Georg, Horst Schulte
      Pages 41-52

    5. Control Reconfiguration for One Class of Takagi-Sugeno Fuzzy SISO Systems

      • Anna Filasová, Dušan Krokavec, Vladimír Serbák
      Pages 53-64

    6. Efficient Predictive Fault-Tolerant Control for Non-linear Systems

      • Marcin Witczak, Piotr Witczak
      Pages 65-76

    7. Design of Maximum Power Fuzzy Controller for PV Systems Based on the LMI-Based Stability

      • Elkhatib Kamal, Abdel Aitouche
      Pages 77-88

    8. Design of a Fuzzy System Performing Data Analysis for Pressure Equipment Service Life-Span Estimation

      • Leszek Koszałka, Piotr Franz, Karol Gęga
      Pages 89-99

    9. Robust Fault Detection Using Zonotope-Based GMDH Neural Network

      • Marcin Mrugalski
      Pages 101-112

    10. Model Predictive Control of the Two Rotor Aero-Dynamical System Using State Space Neural Networks with Delays

      • Andrzej Czajkowski, Krzysztof Patan
      Pages 113-124

    11. Robust \(\mathcal{H}_{\infty}\) Sensor Fault Diagnosis with Neural Network

      • Marcel Luzar, Marcin Witczak, Christophe Aubrun
      Pages 125-136

    12. Neural Network Simulator’s Application to Reference Performance Determination of Turbine Blading in the Heat-Flow Diagnostics

      • Anna Butterweck, Jerzy Głuch
      Pages 137-147

    13. Clustering of Delaminations in Composite Rotors Using Self-Organizing Maps

      • Marcin Amarowicz, Andrzej Katunin
      Pages 149-159

    14. Gender Approach to Multi-Objective Optimization of Detection Systems with Pre-selection of Criteria

      • Zdzisław Kowalczuk, Tomasz Białaszewski
      Pages 161-174

    15. Importance Discounting as a Technique of Expert Knowledge Incorporation into Diagnostic Decision-Making Process

      • Wojciech Jamrozik
      Pages 175-185

    16. Simulators for Defining of Requirements for Diagnostic Systems

      • Marcin Amarowicz
      Pages 187-198

    17. Discovering Rules for Production Speed Prediction in Fasteners Manufacturing

      • Tomasz Mączka, Tomasz Żabiński, Jacek Kluska
      Pages 199-209

  3. Medical Diagnostics and Biometrics

    1. Front Matter

      Pages 211-211
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    2. Computer-Aided Diagnosis for Breast Tumor Classification Using Microscopic Images of Fine Needle Biopsy

      • Marek Kowal
      Pages 213-224
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Editors and Affiliations

  • , Institute of Control and, University of Zielona Gora, Zielona Gora, Poland

    Jozef Korbicz, Marek Kowal

Bibliographic Information

  • Book Title: Intelligent Systems in Technical and Medical Diagnostics

  • Editors: Jozef Korbicz, Marek Kowal

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-642-39881-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Softcover ISBN: 978-3-642-39880-3Published: 30 July 2013

  • eBook ISBN: 978-3-642-39881-0Published: 18 July 2013

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIV, 536

  • Number of Illustrations: 192 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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