Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …

The risk assessment process performs an important role in maintenance decision making,
through structuring the process of identifying, prioritizing, and thereafter formulating effective …

The Bayesian network (BN) is a powerful model for probabilistic knowledge representation
and inference and is increasingly used in the field of reliability evaluation. This paper …

Onboard sensors, which constantly monitor the states of a system and its components, have
made the predictive maintenance (PdM) of a complex system possible. To date, system …

As critical infrastructures being more interdependent with each other and vulnerable to
natural disasters, assessment of cascading failure in the coupled system becomes a …

This paper investigates the Bayesian melding method (BMM) for system reliability analysis
by effectively integrating various available sources of expert knowledge and data at both …

The Bayesian theory is appealing for reliability analysis of complex system using the data
incorporation. However, there are still gaps among existing methods, such as that the …

It is important to predict a system's reliability at its early design stages because modifying
design to improve reliability and maintainability at a later time in the system's lifecycle will be …

Abstract Bernoulli data (pass/fail), lifetime data, and degradation data are commonly
encountered in product reliability assessment. Oftentimes these data are collected from …

Human reliability analysis (HRA) is approaching nearly 60 years of reliance on key aspects
of the original HRA method Technique for Human Error Rate Prediction (THERP), including …