Condition-based maintenance (CBM) is a decision-making strategy based on real-time
diagnosis of impending failures and prognosis of future equipment health. It is a proactive …

This paper reviews the recent modelling developments in estimating the remaining useful
life (RUL) of industrial systems. The RUL estimation models are categorized into …

In this paper, the Conditional Gaussian Networks (CGNs), a form of Bayesian Networks
(BN), are used as a statistical process monitoring approach to detect and diagnose faults …

This article presents statistical model parameter identification using Bayesian inference
when parameters are correlated and observed data have noise and bias. The method is …

STRUCTURAL health monitoring (SHM) may have significant impacts on increasing safety
as well as reducing the operating and maintenance costs of structures by providing an …

Condition-based maintenance (CBM) is increasingly applied to operational systems to
reduce lifecycle costs. Predicting the performance of various CBM policies is a challenging …

Prognostic activity deals with prediction of the remaining useful life (RUL) of physical
systems based on their actual health state and their usage conditions. RUL estimation gives …

Military technical equipment is a complex system, including many mechanics, electrics,
electronics systems and items that must operate in complex, harsh conditions and require …

Structural health monitoring provides sensor data that monitor fatigue-induced damage
growth in service. This information may in turn be used to improve the characterization of the …

Contemporary technical capabilities allow an operator to easily monitor and control several
remote wastewater treatment processes simultaneously but an on-line automatic diagnostic …