Kochs Dependability of Engineering Systems

A Markov Minimal Cut Approach
1. Auflage 2020
ISBN: 978-3-030-38327-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 272, 166 Seiten, eBook

Reihe: Studies in Systems, Decision and Control

This book provides an in-depth understanding of precise and approximate MMC modeling and calculation techniques of engineering systems. The in-depth analysis demonstrates that it is only possible to precisely model and calculate the dependability of systems including s-dependent components with the knowledge of their (total) universe spaces, represented here by Markov spaces. They provide the basis for developing and verifying approximate MMC models. With the mathematical steps described and applied to several examples throughout this text, interested system developers and users can perform dependability analyses themselves. All examples are structured in precisely the same way.

Zielgruppe

Research

Autoren/Hrsg.

Kochs, Hans-Dieter

Inhaltsverzeichnis

Example 1: Reference example.- Example 2.1 and 2.2: Parallel-to-series structure.- Example 3.1 and 3.2: Series-to-parallel structure.- Example 4: 4-out-of-4 (4oo4).- Example 5: 3-out-of-4 (3oo4).- Example 6.1 and 6.2: 2-out-of-4 (2oo4).- Example 7: 1-out-of-4 (1oo4).- Conclusion and overall assessment.

Über Autor(innen)

Hans-Dieter Kochs was head of the Chair of Computer Engineering and Information Logistics at the University Duisburg-Essen, Germany. He received a Diploma-Degree in Electrical Engineering (1972) and a Dr.-Ing. Degree (1976) from the Technical University (RWTH) Aachen, Germany. From 1972 to 1979 he was a member of the Institute of Power Systems and Power Economics (IAEW) at the RWTH Aachen (Prof. K.W. Edwin) as a research assistant. From 1979 to 1991 he held leading positions in industry (AEG/Daimler Frankfurt, FAG Kugelfischer Erlangen, and ESWE Wiesbaden, Germany). Since 1991 he has been a full Professor. From 1972 to the present day, he has been engaged in scientific and industrial dependability analyses and studies.