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Simplified models for uncertainty quantification of extreme events using Monte Carlo technique
The accurate prediction of extreme events based on measured data is an important task
because it can facilitate infrastructure reliability design, risk assessment, and disaster …
because it can facilitate infrastructure reliability design, risk assessment, and disaster …
A novel risk evaluation method for fire and explosion accidents in oil depots using bow-tie analysis and risk matrix analysis method based on cloud model theory
S **e, S Dong, Y Chen, Y Peng, X Li - Reliability Engineering & System …, 2021 - Elsevier
Due to the catastrophic impact of Fire and Explosion Accidents in Oil Depots (FEAOD), the
prevention and control of such accidents is the most critical part of risk management. In this …
prevention and control of such accidents is the most critical part of risk management. In this …
Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process
SJ Zhang, R Kang, YH Lin - Reliability Engineering & System Safety, 2021 - Elsevier
Remaining useful life prediction based on degradation modeling is of great importance to
condition-based maintenance, for which epistemic uncertainty due to the lack of sufficient …
condition-based maintenance, for which epistemic uncertainty due to the lack of sufficient …
Interval-valued q-rung orthopair fuzzy FMEA application to improve risk evaluation process of tool changing manipulator
C **, Y Ran, G Zhang - Applied Soft Computing, 2021 - Elsevier
Taking actions to prevent the occurrence of failure in advance, rather than improving
reliability through post-mortem testing is crucial for improvement of products' quality and …
reliability through post-mortem testing is crucial for improvement of products' quality and …
A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems
Dynamic systems modeled by computationally intensive numerical models with time-
dependent output are common in engineering. Efficient uncertainty propagation of such …
dependent output are common in engineering. Efficient uncertainty propagation of such …
Reliability index and option pricing formulas of the first-hitting time model based on the uncertain fractional-order differential equation with Caputo type
Since the ability to control the investor's income or loss within a certain range, barrier option
has been among the most popular path-dependent options where its payoff depends on …
has been among the most popular path-dependent options where its payoff depends on …
Reliability index and Asian barrier option pricing formulas of the uncertain fractional first-hitting time model with Caputo type
T **, H Ding, H **a, J Bao - Chaos, Solitons & Fractals, 2021 - Elsevier
This paper mainly studies the pricing problem of arithmetic average Asian barrier options in
the continuous case and analyzes the corresponding reliability index. Owing to the fact that …
the continuous case and analyzes the corresponding reliability index. Owing to the fact that …
Post‐earthquake functionality assessment of subway stations considering the interdependency among sub‐systems
W Wen, J Hu, C Zhai, S Pei - Computer‐Aided Civil and …, 2024 - Wiley Online Library
This study proposes a framework for the post‐earthquake functionality assessment of
subway stations, in which the effects of seismic damage of components and …
subway stations, in which the effects of seismic damage of components and …
Optimizing resource allocations to improve system reliability via the propagation of statistical moments through fault trees
Fault tree analysis remains a significant alternative for modeling and analyzing reliability
and failure modes. Traditionally, the probabilities of the basic events are assumed as point …
and failure modes. Traditionally, the probabilities of the basic events are assumed as point …
Reliability analysis of dynamic fault trees with Priority-AND gates based on irrelevance coverage model
The irrelevance coverage model (ICM) is an extension of the imperfect fault coverage model
(IFCM), which can reduce the risk of uncovered component failures by isolating irrelevant …
(IFCM), which can reduce the risk of uncovered component failures by isolating irrelevant …