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|a 10.1007/978-3-030-38327-5
|2 doi
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|a Kochs, Hans-Dieter.
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|a Dependability of engineering systems :
|b a Markov minimal cut approach /
|c Hans-Deiter Kochs.
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| 260 |
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|a Cham :
|b Springer,
|c 2020.
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| 300 |
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|a 1 online resource (185 pages)
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| 336 |
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|a text
|b txt
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
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|b PDF
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| 490 |
1 |
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|a Studies in Systems, Decision and Control ;
|v v. 272
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0 |
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|a Print version record.
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|a Intro -- Preface -- Contents -- About the Author -- Symbols and Abbreviations -- List of Figures -- List of Tables -- 1 Example 1: Reference Example -- 1.1 Mathematical Foundation for the Integration of Markov Minimal Cuts (MMC) -- 1.2 Precise Modeling of the MMC and the System Up and Down State -- 1.3 Precise Calculation of the Markov Models -- 1.4 Approximate Modeling of the MMC -- 1.5 Approximate Calculation of the MMC Models with the pMp Approach -- 1.6 Equivalent DBD Based on MC -- 1.7 Results -- 1.8 Extension -- 1.9 Remark to Deviations-Model Accuracy
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|a 1.10 Preliminary Research and Related Terms and Methods -- 2 Examples 2.1 and 2.2: Parallel-to-Series Structure -- 2.1 Example 2.1: Multiple Common Cause Failures (CCF) -- 2.1.1 Precise Modeling of the MMC and the System Up and Down State -- 2.1.2 Approximate Modeling of the MMC -- 2.1.3 Approximate Calculation of the MMC Models with the pMp Approach -- 2.1.4 Equivalent DBD Based on MC -- 2.1.5 Results -- 2.2 Example 2.2: Mix of s-Dependencies -- 2.2.1 Precise Modeling of the MMC and the System Up and Down State -- 2.2.2 Approximate Modeling of the MMC
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|a 2.2.3 Approximate Calculation of the MMC Models with the pMp Approach -- 2.2.4 Equivalent DBD Based on MC -- 2.2.5 Results -- 3 Examples 3.1 and 3.2: Series-to-Parallel Structure -- 3.1 Example 3.1: Multiple Common Cause Failures (CCF) -- 3.1.1 Precise Modeling of the MMC and the System Up and Down State -- 3.1.2 Approximate Modeling of the MMC -- 3.1.3 Approximate Calculation of the MMC Models with the pMp Approach -- 3.1.4 Equivalent DBD Based on MC -- 3.1.5 Results -- 3.2 Example 3.2: Mix of s-Dependencies -- 3.2.1 Precise Modeling of the MMC and the System Up and Down State
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|a 3.2.2 Approximate Modeling of the MMC -- 3.2.3 Approximate Calculation of the MMC Models with the pMp Approach -- 3.2.4 Equivalent DBD Based on MC -- 3.2.5 Results -- 4 Example 4: 4-out-of-4 (4oo4) -- 4.1 Precise Modeling of the MMC and the System Up and Down State -- 4.2 Approximate Modeling of the MMC -- 4.3 Approximate Calculation of the MMC Models with the pMp Approach -- 4.4 Equivalent DBD Based on MC -- 4.5 Results -- 5 Example 5: 3-out-of-4 (3oo4) -- 5.1 Precise Modeling of the MMC and the System Up and Down State -- 5.2 Approximate Modeling of the MMC
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|a 5.3 Approximate Calculation of the MMC Models with the pMp Approach -- 5.4 Equivalent DBD Based on MC -- 5.5 Results -- 6 Examples 6.1 and 6.2: 2-out-of-4 (2oo4) -- 6.1 Example 6.1: Multiple Common Cause Failures (CCF) -- 6.1.1 Precise Modeling of the MMC and the System Up and Down State -- 6.1.2 Approximate Modeling of the MMC -- 6.1.3 Approximate Calculation of the MMC Models with the pMp Approach -- 6.1.4 Equivalent DBD Based on MC -- 6.1.5 Results -- 6.2 Example 6.2: Mix of s-Dependencies -- 6.2.1 Precise Modeling of the MMC and the System Up and Down State
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|a 6.2.2 Approximate Modeling of the MMC
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|a 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.
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|a Reliability (Engineering)
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| 650 |
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|a Automatic control engineering.
|2 bicssc
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| 650 |
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|a Maths for engineers.
|2 bicssc
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|a Dynamics & vibration.
|2 bicssc
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|a Technology & Engineering
|x Automation.
|2 bisacsh
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|a Technology & Engineering
|x Engineering (General)
|2 bisacsh
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|a Technology & Engineering
|x Mechanical.
|2 bisacsh
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| 650 |
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|a Reliability (Engineering)
|2 fast
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| 758 |
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|i has work:
|a Dependability of engineering systems (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFrRbBjb9FQXB7C6qPWTBP
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Kochs, Hans-Dieter.
|t Dependability of Engineering Systems : A Markov Minimal Cut Approach.
|d Cham : Springer, ©2020
|z 9783030383268
|
| 830 |
|
0 |
|a Studies in systems, decision and control ;
|v v. 272.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-38327-5
|y Click for online access
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|a SPRING-ENGINE2020
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| 994 |
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|a 92
|b HCD
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