A Predictive Dynamic Approach to Evaluating the Reliability of ...

Passive systems play a vital role in ensuring the safety and advancement of Nuclear Power Plant (NPP) technology. The precise evaluation of their ...

(PDF) A Predictive Dynamic Approach to Evaluating the Reliability of ...

A new methodology has been developed to assess the reliability of passive systems, which are distinguished by three main components: systematic ...

Passive systems play a vital role in ensuring the safety and advancement of Nuclear Power Plant (NPP) technology. The precise evaluation of ...

An Approach for the Dynamic Reliability Assessment of the Digital ...

The digital power control system for nuclear reactor (DPCSNR) for a nuclear power plant has dynamic characteristics including dynamic ...

Modelling and estimation of system reliability under dynamic ...

In this study, we first propose a statistical model for system reliability evaluation by jointly considering the correlated component lifetimes and the ...

Research on Reliability Prediction Methods for Dynamic Networks ...

Tao, et al., "Modeling and evaluation method for resilience analysis of multi-state networks," Reliability Engineering & System Safety,vol.226, ...

Approaching Dynamic Reliability By Monte Carlo Simulation

In this paper we present a Monte Carlo dynamic approach to reliability ... H. Kumamoto, K. Tanaka, K. Inoue, Efficient Evaluation of System Reliability by Monte ...

An Approach to Dynamic Human Reliability Analysis Using the ...

(PRIMERA-HRA), a dynamic HRA approach based on the Event Modeling Risk Assessment Using. Linked Diagram (EMRALD) software developed by Idaho ...

A consensus approach for estimating the predictive accuracy of ...

Mathematical models that predict the complex dynamic behaviour of cellular networks are fundamental in systems biology, and provide an ...

Dynamic Reliability Assessment and Prediction for Repairable ...

This paper proposes a novel method to evaluate and predict the dynamic reliability of a repairable system subject to interval-censored problem. First, a ...

Dynamic reliability assessment and prediction for repairable

This paper proposes a novel method to evaluate and predict the dynamic reliability of a repairable system subject to interval-censored problem. First, a ...

Dynamic Approach to Dependency Analysis in Human Reliability ...

For these reasons, the authors' previous studies have conceptually suggested a dynamic approach to evaluating dependencies by extending the existing performance ...

Assessing the Reliability of Complex, Dynamic Modeling and ...

Accounting for uncertainties in model-based inference, prediction, and optimization is essential, particularly for complex societal and ...

A method for rapidly evaluating reliability and predicting remaining ...

A two-dimensional (2-D) deep convolution neural network (CNN) is proposed for rapidly evaluating reliability and predicting RUL, in which a ...

Dynamic predictive analysis of the consequences of gas pipeline ...

The main research objective of this research is to develop a model applying both static and dynamic BN to evaluate the consequences of potential natural gas ...

The Construct and Predictive Validity of a Dynamic Assessment of ...

RTI is viewed by many as a more valid identification process than traditional psychometric approaches because it guarantees in principle that all children will ...

Making predictive modelling ART: accurate, reliable, and transparent

Our framework summarizes the process of creating predictive models into three main stages: (1) Framing the Question; (2) Model-Building and ...

Dynamic models to predict health outcomes: current status and ...

This approach is known as dynamic prediction modelling. We define dynamic models (DMs) as those which acknowledge the real time of each ...

What are the steps to accurately evaluate a predictive model?

... predictive accuracy to guarantee a smooth user experience and ... The world of predictive modeling is vast and dynamic. Beyond the ...

Dynamic Model Agnostic Reliability Evaluation of Machine-Learning ...

Thus, in this work, we demonstrate a real-time model-agnostic method to evaluate the relative reliability of ML predictions by incorporating out-of-distribution ...