Maintenance activities are very important for the complex and high-risk installations,
especially for Nuclear Power Plant. Good maintenance will be able to minimise loss of …

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 …

In practical engineering, the presence of dependent evidence is not rare due to various
imperfections. Misuse of such information in reliability analysis will lead to conflicting or even …

Most traditional software reliability growth models (SRGMs) assume immediate fault
correction upon detection and therefore only consider fault detection process (FDP). In order …

Reliability estimation is paramount to predicting costs, planning maintenance actions, and
estimating system availability in high-risk industries such as aerospace, aeronautics, and Oil …

The reliability assessment for a system with multiple prior information can be challenging. In
this paper, we propose a novel Bayesian melding (BM) approach to combine the …

Performance evaluation or parameter estimation for a hierarchical structure prototype
product is an imperative yet difficult task. The challenge comes from both inaccurate prior …

Reliability analysis of a complex system is vital and challenging. The Bayesian theory is
widely used to integrate multiple source data for this problem by decomposing the system …

Residual life estimation is an important problem in reliability engineering. Traditional
methods, which are based on time-to-failure distribution, have limitations for components of …

The flexible test system (FTS) for aerospace pyromechanical device products (PDPs) is an
important mean to accurately assess the quality of aerospace-grade PDPs. Since PDPs are …