152,89 €
Dependability of Engineering Systems
Dependability of Engineering Systems
  • Išparduota
Dependability of Engineering Systems
Dependability of Engineering Systems
El. knyga:
152,89 €
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 ap…

Dependability of Engineering Systems (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

Formatai:

152,89 € El. knyga

Aprašymas

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.

152,89 €
Prisijunkite ir už šią prekę
gausite
1,53 Knygų Eurų! ?

Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.

Mažiausia kaina per 30 dienų: 152,89 €

Mažiausia kaina užfiksuota: Kaina nesikeitė


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.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)
[{"option":"222","probability":1,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba631ba76d1782294065.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"221","probability":1.3,"style":{"backgroundColor":"#e1032e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba61ea9f381782294046.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"220","probability":1.6,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba60167d251782294017.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"219","probability":1.5,"style":{"backgroundColor":"#e2022e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5ea1c47d1782293994.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"218","probability":1.5,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5d38b4a21782293971.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"217","probability":1.6,"style":{"backgroundColor":"#e3022e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5b981b7a1782293945.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"216","probability":1.4,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba58b535551782293899.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"215","probability":0.1,"style":{"backgroundColor":"#ffe01a"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba53a6496f1782293818.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}}]