Pages that link to "Item:Q2183026"

The following pages link to Modeling of degradation data via Wiener stochastic process based on acceleration factor constant principle (Q2183026):

Displaying 8 items.

• Field degradation modeling and prognostics under time-varying operating conditions: a Bayesian based filtering algorithm (Q821812) (← links)
• Modelling accelerated degradation data using Wiener diffusion with a time scale transformation (Q1367121) (← links)
• Accelerated degradation process analysis based on the nonlinear Wiener process with covariates and random effects (Q1793270) (← links)
• Reliability estimation from two types of accelerated testing data based on an artificial neural network supported Wiener process (Q2060224) (← links)
• Unbiased parameters estimation and mis-specification analysis of Wiener process-based degradation model with random effects (Q2109681) (← links)
• Fiducial inference-based failure mechanism consistency analysis for accelerated life and degradation tests (Q2109894) (← links)
• Reliability evaluation approach based on degradation data distribution under accelerated stresses (Q2825159) (← links)
• Optimal design of accelerated degradation tests based on Wiener process models (Q5124762) (← links)