Bayesian Network Enhanced with Structural Reliability Methods: Application

Bayesian Network Enhanced with Structural Reliability Methods: Methodology

We combine Bayesian networks (BNs) and structural reliability methods (SRMs) to create a new computational framework, termed enhanced Bayesian network (eBN), for reliability and risk analysis of engineering structures and infrastructure. BNs are efficient in representing and evaluating complex probabilistic dependence structures, as present in infrastructure and structural systems, and they fac...

GUI Reliability Assessment based on Bayesian Network and Structural Profile

Graphical User Interfaces (GUI) is becoming increasingly important in the software field as it builds a friendly way between users and software through continuous interactions. A well-developed GUI is therefore an important factor of software quality. In particular, the reliability of GUIs is still on the way of development. Existing software reliability assessment techniques attempt to statist...

Application of Bayesian Methods for Age-Dependent Reliability Analysis

In this article, the authors present a general methodology for age-dependent reliability analysis of degrading or ageing components, structures and systems. The methodology is based on Bayesian methods and inference—its ability to incorporate prior information and on ideas that ageing can be thought of as age-dependent change of beliefs about reliability parameters (mainly failure rate), when c...

Structural Reliability Methods

System Reliability Allocation Based on Bayesian Network

In this paper, system reliability allocation using BN(Bayesian Network) was researched. The relationship between system failure and component failure can be expressed by probability importance degree, structure importance degree and key importance degree in FTA (Fault Tree Analysis). BN supplies a new method to reflect the importance of components in system. That is the conditional failure prob...