Soft Computing in Industrial Electronics

1. Front Matter

   Pages I-XVI

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2. Electric Power Applications

   1. Front Matter

      Pages 1-1

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   2. Motor Fault Detection and Diagnosis Using Soft Computing

      • Xiao-Zhi Gao, Seppo J. Ovaska

      Pages 3-44

   3. Neural Network Estimation and Neuro-Fuzzy Control in Converter-Fed Induction Motor Drives

      • Marian P. Kazmierkowski, Teresa Orłowska-Kowalska

      Pages 45-94

   4. High Robustness of Fuzzy Logic Systems in Switched Reluctance Motor Drives

      • Adrian David Cheok

      Pages 95-136

   5. On the Use of Fuzzy Logic to Control Paralleled DC-DC Converters

      • Bogdan Tomescu, Hugh F. Van Landingham

      Pages 137-195

   6. Soft Computing-Based Optimal Operation in Power Energy System

      • Akimoto Kamiya, Masakazu Kato, Kazue Shimada, Shigenobu Kobayashi

      Pages 196-230

   7. Neural Network-Based Adaptive Protection System

      • Adrian Halinka, Pawel Sowa, Michal Szewczyk, Les M. Sztandera

      Pages 231-246

3. Emerging Applications

   1. Front Matter

      Pages 247-247

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   2. Fuzzy Logic-Based Traffic Controller

      • Jarkko Niittymäki, Riku Nevala, Marko Mäenpää

      Pages 249-278

   3. On Evolvable Hardware

      • G. W. Timothy Gordon, J. Peter Bentley

      Pages 279-323

   4. Category Classification Using Neural Networks

      • Toru Fujinaka, Michifumi Yoshioka, Sigeru Omatu

      Pages 324-345

4. Back Matter

   Pages 347-352

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It is expected that the use of soft computing will increase greatly in industrial applications, because the conceptual structure of hard computing is much too precise in relation to the great imprecision of the world around us. This book aims at attracting researchers and engineers both in the fields of industrial electronics (IE) and computational intelligence (CI). By approaching the different viewpoints of IE and CI people, it is hoped to provide practicing engineers with new solutions to the demanding real-world problems. The applications are divided into two categories, Electric Power Applications and Emerging Applications.

• Hardware
• Motor
• classification
• computational intelligence
• control
• diagnosis
• electronics
• fuzzy
• fuzzy control
• fuzzy logic
• intelligence
• logic
• network
• neural networks
• soft computing

• Institute of Intelligent Power Electronics, Helsinki University of Technology, Espoo, Finland

  Seppo J. Ovaska

• School of Science and Health, Computer Science Department, Philadelphia University, Philadelphia, USA

  Les M. Sztandera

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