A review on prognostics methods for engineering systems
Due to the advancements in sensing technologies and computational capabilities, system
health assessment and prognostics have been extensively investigated in the literature …
health assessment and prognostics have been extensively investigated in the literature …
A survey on industrial information integration 2016–2019
Y Chen - Journal of Industrial Integration and Management, 2020 - World Scientific
Industrial information integration engineering (IIIE) is a set of foundational concepts and
techniques that facilitate the industrial information integration process. In recent years, many …
techniques that facilitate the industrial information integration process. In recent years, many …
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 …
Dynamic fault tree analysis: state-of-the-art in modeling, analysis, and tools
Safety and reliability are two important aspects of dependability that are needed to be
rigorously evaluated throughout the development life-cycle of a system. Over the years …
rigorously evaluated throughout the development life-cycle of a system. Over the years …
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 …
A bibliometric analysis of process system failure and reliability literature
This paper presents a bibliometric analysis of process system failure and reliability studies.
This analysis attempts to answer following questions, related to the evolution of failure and …
This analysis attempts to answer following questions, related to the evolution of failure and …
[HTML][HTML] Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
In the transition towards more sustainable ships, electric motors (EM) are being used in ship
propulsion systems to reduce emissions and increase efficiency. The safe operation of ships …
propulsion systems to reduce emissions and increase efficiency. The safe operation of ships …
Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants
I Ramirez, JI Aizpurua, I Lasa, L Del Rio - Engineering Applications of …, 2024 - Elsevier
The increased penetration of renewable energy sources (RESs) as an effective mechanism
to reduce carbon emissions leads to an increased weather dependency for power and …
to reduce carbon emissions leads to an increased weather dependency for power and …
Safety+ AI: A novel approach to update safety models using artificial intelligence
Safety-critical systems are becoming larger and more complex to obtain a higher level of
functionality. Hence, modeling and evaluation of these systems can be a difficult and error …
functionality. Hence, modeling and evaluation of these systems can be a difficult and error …
Shyftoo, an object-oriented monte carlo simulation library for the modeling of stochastic hybrid fault tree automaton
Dependability assessment is a crucial activity to ensure the correct operation of complex
systems. The output of dependability assessment activities include the quantification of …
systems. The output of dependability assessment activities include the quantification of …