Open access peer-reviewed Edited Volume

Probabilistic Modeling in System Engineering

Edited by Andrey Kostogryzov

Research Institute of Applied Mathematics and Certification (RIAMC), Russia

This book is intended for systems analysts, designers, developers, users, experts, as well as those involved in quality, risk, safety and security management, and, of course, scientists and students. The various sets of original and traditional probabilistic models and interesting results of their applications to the research of different systems are presented. The models are understandable and applicable for solving system engineering problems: to optimize system requirements, compare different processes, rationale technical decisions, carry out tests, adjust technological parameters, and predict and analyze quality and risks. The engineering decisions, scientifically proven by the proposed models and software tools, can provide purposeful, essential improvement of quality and mitigation of risks, and reduce the expense of operating systems. Models, methods, and software tools can also be used in education for system analysis and mathematical modeling on specializations, for example "systems engineering," "operations research," "enterprise management," "project management," "risk management," "quality of systems," "safety and security," "smart systems," "system of systems," etc.

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IntechOpen
Probabilistic Modeling in System EngineeringEdited by Andrey Kostogryzov

Published: September 26th 2018

DOI: 10.5772/intechopen.71396

ISBN: 978-1-78984-409-2

Print ISBN: 978-1-78923-774-0

Copyright year: 2018

Books open for chapter submissions

329 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Probabilistic Modelling in Solving Analytical Problems of System Engineering

By Anatoly Lepikhin, Vladimir Moskvichev and Nikolay Machutov

46

Open access peer-reviewed

2. Probabilistic Methods and Technologies of Risk Prediction and Rationale of Preventive Measures by Using “Smart Systems”: Applications to Coal Branch for Increasing Industrial Safety of Enterprises

By Vladimir Artemyev, Jury Rudenko and George Nistratov

19

Open access peer-reviewed

3. Probabilistic Modeling Processes for Oil and Gas

By Vsevolod Kershenbaum, Leonid Grigoriev, Petr Kanygin and Andrey Nistratov

32

Open access peer-reviewed

4. Probabilistic Analysis of Transportation Systems for Oil and Natural Gas

By Yuriy V. Lisin, Nikolay A. Makhutov, Vladimir A. Nadein and Dmitriy A. Neganov

24

Open access peer-reviewed

5. Decision-Making Model for Offshore Offloading Operations Based on Probabilistic Risk Assessment

By C. E. Patiño Rodriguez

16

Open access peer-reviewed

6. Natural Hazards: Systematic Assessment of Their Contribution to Risk and Their Consequences

By Berg Heinz-Peter and Roewekamp Marina

16

Open access peer-reviewed

7. Models for Testing Modifiable Systems

By Alexey Markov, Alexander Barabanov and Valentin Tsirlov

48

Open access peer-reviewed

8. Probabilistic Model of Delay Propagation along the Train Flow

By Vladimir Chebotarev, Boris Davydov and Kseniya Kablukova

23

Open access peer-reviewed

9. The Approach of Probabilistic Risk Analysis and Rationale of Preventive Measures for Space Systems and Technologies

By Nikolay Paramonov

18

Open access peer-reviewed

10. Periodic Monitoring and Recovery of Resources in Information Systems

By Alexey Markov, Alexander Barabanov and Valentin Tsirlov

41

Open access peer-reviewed

11. Probabilistic Analysis of the Influence of Staff Qualification and Information-Psychological Conditions on the Level of Systems Information Security

By Igor Goncharov, Nikita Goncharov, Pavel Parinov, Sergey Kochedykov and Alexander Dushkin

25

Open access peer-reviewed

12. Analysis of Terrorist Attack Scenarios and Measures for Countering Terrorist Threats

By Dmitry O. Reznikov, Nikolay A. Makhutov and Rasim S. Akhmetkhanov

21

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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