Today's fast-pace evolving and digitalizing World is posing new challenges to reliability
engineering. On the other hand, the continuous advancement of technical knowledge and …

Risk assessment must evolve for addressing the existing and future challenges, and
considering the new systems and innovations that have already arrived in our lives and that …

The Industry 4.0 paradigm is boosting the relevance of predictive maintenance (PdM) for
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …

Considering that few or no human operators are directly involved in the operation of
Autonomous Marine Systems (AMS), an online risk model is necessary to enhance the …

Risk assessment models in the oil and gas (O&G) industry has begun to transform from time-
static models like fault tree, event tree or bowtie to dynamic risk assessment (DRA) models …

Fault detection and diagnosis (FDD) provides safety alarms and diagnostic functions for a
nuclear power plant (NPP), which comprises large and complex systems. Here, a technical …

Inspection methodologies have evolved in the past decades to explore optimal interval and
inspection methods. The American Petroleum Institute has published several standards …

Traditional quantitative risk assessment methods (eg, event tree analysis) are static in
nature, ie, the risk indexes are assessed before operation, which prevents capturing time …

An integrated approach for performance assessment and management of safety barriers in a
systemic manner is needed concerning the prevention and mitigation of major accidents in …

In this paper, a framework is proposed for integrating condition monitoring and inspection
data in Dynamic risk assessment (DRA). Condition monitoring data are online-collected by …