Some challenges and opportunities in reliability engineering
E Zio - IEEE Transactions on Reliability, 2016 - ieeexplore.ieee.org
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 …
engineering. On the other hand, the continuous advancement of technical knowledge and …
Challenges to IoT-enabled predictive maintenance for industry 4.0
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) …
manufacturing and production industries. PdM strongly relies on Internet of Things (IoT) …
The future of risk assessment
E Zio - Reliability Engineering & System Safety, 2018 - Elsevier
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 …
considering the new systems and innovations that have already arrived in our lives and that …
[HTML][HTML] Towards an online risk model for autonomous marine systems (AMS)
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 …
Autonomous Marine Systems (AMS), an online risk model is necessary to enhance the …
Dynamic risk analysis of evolving scenarios in oil and gas separator
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 …
static models like fault tree, event tree or bowtie to dynamic risk assessment (DRA) models …
Dynamic risk-based inspection methodology
Inspection methodologies have evolved in the past decades to explore optimal interval and
inspection methods. The American Petroleum Institute has published several standards …
inspection methods. The American Petroleum Institute has published several standards …
Framework for fault diagnosis with multi-source sensor nodes in nuclear power plants based on a Bayesian network
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 …
nuclear power plant (NPP), which comprises large and complex systems. Here, a technical …
Dynamic risk assessment based on statistical failure data and condition-monitoring degradation data
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 …
nature, ie, the risk indexes are assessed before operation, which prevents capturing time …
[HTML][HTML] Dynamic-risk-informed safety barrier management: An application to cost-effective barrier optimization based on data from multiple sources
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 …
systemic manner is needed concerning the prevention and mitigation of major accidents in …
A framework for dynamic risk assessment with condition monitoring data and inspection data
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 …
data in Dynamic risk assessment (DRA). Condition monitoring data are online-collected by …