Concise Guide to Fault Tree Analysis: Models, Methods and Algorithms - Computer Science Foundations and Applied Logic - Marielle Stoelinga - Grāmatas - Birkhauser Verlag AG - 9783031782862 - 2026. gada 3. janvāris
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Concise Guide to Fault Tree Analysis: Models, Methods and Algorithms - Computer Science Foundations and Applied Logic

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Fault tree analysis is key tool in risk analysis.  It is a widely used industry standard with applications in amongst others, the aerospace, automotive, chemical and nuclear industries. Society depends on complex engineering systems such as (nuclear) power plants, airplanes, and data centers, and this dependency is only increasing with developments like smart grids and self-driving cars. In this light, risk analysis is essential to ensure that these systems are reliable.

Fault tree analysis is a powerful, commonly used tool for such risk analysis. This book provides a comprehensive overview of what fault trees are and how they are applied, looking at their role in risk management, illustrating techniques for their construction, and describing their analysis in both practical and mathematical terms. Topics and features: Delivers a crystal-clear overview of techniques for building and analyzing fault treesOffers numerous illustrative examples of methods and industry applicationsProvides solid mathematical descriptions for exact and approximate analysisIncludes an overview of modern extensions of fault treesExamines and explains the whole fault tree analysis process, including the application of resultsWith its comprehensive overview of the practice of fault tree analysis, this book is eminently suitable for industrial and academic professionals in risk management.

Furthermore, the overview of analysis techniques will be of great interest to researchers working to advance the field.

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2026. gada 3. janvāris
ISBN13 9783031782862
Izdevēji Birkhauser Verlag AG
Lapas 221
Izmēri 161 × 241 × 20 mm   ·   508 g
Valoda Vācu  

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