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Kategorie szczegółowe BISAC

Dependability of Self-Optimizing Mechatronic Systems

ISBN-13: 9783642537417 / Angielski / Twarda / 2014 / 193 str.

Jurgen Gausemeier; Franz Josef Rammig; Dr Wilhelm Schafer
Dependability of Self-Optimizing Mechatronic Systems Jurgen Gausemeier Franz Josef Rammig Wilhelm Schafer 9783642537417 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Dependability of Self-Optimizing Mechatronic Systems

ISBN-13: 9783642537417 / Angielski / Twarda / 2014 / 193 str.

Jurgen Gausemeier; Franz Josef Rammig; Dr Wilhelm Schafer
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Intelligent technical systems, which combine mechanical, electrical and software engineering with methods from control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. The Collaborative Research Center 614 "Self-optimizing concepts and structures in mechanical engineering" pursued the long-term aim to enable others to develop dependable self-optimizing systems. Assuring their dependability poses new challenges. However, self-optimization also offers the possibility to adapt the system's behavior to improve dependability during operation. The aim of this book is to provide methods and techniques to master the challenges and to exploit the possibilities given by self-optimization. The reader will be able to develop self-optimizing systems that fulfill and surpass today's dependability requirements easily. This book is directed to researchers and practitioners alike. It gives a brief introduction to the holistic development approach for self-optimizing mechatronic systems and the steps required to assure a dependable product design starting with the very early conceptual design phase. A guideline to select suitable methods for each step and the methods themselves are included. Each method is individually introduced, many examples and full references are given.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Industrial Design - Product
Technology & Engineering > Mechanical
Technology & Engineering > Engineering (General)
Wydawca:
Springer
Seria wydawnicza:
Lecture Notes in Mechanical Engineering
Język:
Angielski
ISBN-13:
9783642537417
Rok wydania:
2014
Wydanie:
2014
Numer serii:
000459769
Ilość stron:
193
Waga:
0.47 kg
Wymiary:
23.39 x 15.6 x 1.27
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Introduction to Self-Optimization and Dependability.- Development of Self-Optimizing Systems.- Methods of Improving the Dependability of Self-Optimizing Systems.- Case Study.- Conclusion and Outlook.

Prof. Dr.-Ing. Jürgen Gausemeier ist Professor für Rechnerintegrierte Produktion am Heinz Nixdorf Institut der Universität Paderborn.

Intelligent technical systems, which combine mechanical, electrical and software engineering with control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. Self-optimizing systems create high value for example in terms of energy and resource efficiency as well as reliability.

The Collaborative Research Center 614 "Self-optimizing Concepts and Structures in Mechanical Engineering" pursued the long-term aim to open up the active paradigm of self-optimization for mechanical engineering and to enable others to develop self-optimizing systems.

This book is directed to researchers and practitioners alike. It provides a design methodology for the development of self-optimizing systems consisting of a reference process, methods, and tools. The reference process is divided into two phases the domain-spanning conceptual design and the domain-specific design and development. For the conceptual design a holistic approach is provided. Domain-specific methods and tools developed especially for the design and development of self-optimizing systems are described and illustrated by application examples. This book will enable the reader to identify the potential for self-optimization and to develop self-optimizing systems independently.



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