Contents

#### **Preface XI**

#### **Section 1 Industrial Applications 1**

Chapter 1 **Intelligent Systems for the Detection of Internal Faults in Power Transmission Transformers 3** Ivan N. da Silva, Carlos G. Gonzales, Rogério A. Flauzino, Paulo G. da Silva Junior, Ricardo A. S. Fernandes, Erasmo S. Neto, Danilo H. Spatti and José A. C. Ulson

Chapter 2 **Electric Power System Operation Decision Support by Expert System Built with Paraconsistent Annotated Logic 29** João Inácio Da Silva Filho, Alexandre Shozo Onuki, Luís Fernando Pompeo Ferrara, Maurício Conceição Mário, José de Melo Camargo, Dorotéa Vilanova Garcia, Marcos Rosa dos Santos and Alexandre Rocco

#### **Section 2 Research Applications 61**


Preface

by users.

tors of expert systems.

man, materials and automation.

natives to which they were used previously.

In the area of control engineering, it is necessary to work in a continued form in obtaining new methods of regulation to remedy the problem that already exists or to find better alter‐

The economic agents now realize knowledge as an active relavant for the market organiza‐ tion differentiation. This scenario explains the need for systems that assist the user in the ac‐ quisition process and knowledge management. Intelligent systems, known as expert sys‐ tems, serve to this purpose in the extent that they have signed as facilitators in this process. These are systems that are based on expert knowledge, on any subject, in order to emulate human expertise in the specific field. To obtain this knowledge, the knowledge engineers, also called software engineers, need to develop methodologies for intelligent systems. In this area there is still no unified methodology that provides effective methods, notations and tools to aid in development. The use of the recommendations helps the designer to interface with more knowledge giving the possibility to access them in an automated fashion and with various features, resulting in better recommendations and with best models specified

In developing of nonlinear expert system simulation models, the proper selection of input variables is a challenging problem. Therefore, a false combination of input variables could prevent the simulation model from achieving the optimal solution. The presented methodol‐ ogy in this book is an applicable approach for input variable selection in multi-input simula‐

This book has 5 chapters and explains that the expert systems are products of the artificial intelligence, branch of computer science that seeks to develop intelligent programs for hu‐

Director of the Department of Technologies and Equipment for Materials Processing

**Professor Eng. Petrică Vizureanu, Ph.D.**

Faculty of Materials Science & Engineering "Gheorghe Asachi" Technical University of Iasi

Romania
