Bayesian Networks for Reliability Engineering

£129.50

Bayesian Networks for Reliability Engineering

Electrical engineering Security and fire alarm systems Computer modelling and simulation Artificial intelligence

Authors: Baoping Cai, Yonghong Liu, Zengkai Liu, Yuanjiang Chang, Lei Jiang

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Collection: Intelligent Technologies and Robotics

Language: English

Published by: Springer

Published on: 28th February 2019

Format: LCP-protected ePub

Size: 28 Mb

ISBN: 9789811365164


Overview

This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability.

Content Focus

After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification.

Intended Audience

As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering.

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