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Cambridge University Press Cambridge Reliability and Availability Engineering Guide

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Description

Determine the best techniques for evaluating engineered system reliability with this comprehensive guide from Cambridge University Press. This self-contained resource provides extensive coverage of analytical and modeling methods used in the field today. Readers can explore a wide range of approaches, starting from classical non-state and state space methods to advanced techniques like binary decision diagrams, dynamic fault trees, and Bayesian belief networks. The text also covers stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. By studying this guide, you will understand the relative pros and cons of each method and learn how to combine different techniques to meet your specific engineering needs.

Key Features

This Cambridge University Press guide provides a self-contained overview of analytical and modeling techniques for engineered systems.

Learn to evaluate reliability using classical non-state and state space approaches alongside advanced methods like binary decision diagrams.

Explore modern modeling tools including dynamic fault trees, Bayesian belief networks, and stochastic Petri nets.

Gain technical knowledge on non-homogeneous Markov chains, semi-Markov processes, and phase type expansions.

Understand the relative pros and cons of various techniques to choose the right method for your specific application.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 August 2017
Listed Since
04 May 2017

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