Nonlinear Wiener Process for Accelerated Degradation Testing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current accelerated degradation test methods using linear Wiener processes are limited in accuracy due to their inability to account for nonlinearity in product performance degradation over time, resulting in relatively low testing accuracy for product reliability estimation.
Innovation Solution
A method and device for processing accelerated degradation test data based on a nonlinear Wiener process, which involves selecting a target time conversion model from predefined models, constructing a nonlinear Wiener degradation process, and determining a product reliability function to estimate the reliability of products under normal conditions, considering nonlinearity and performance degradation patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If linear Wiener process is used for accelerated degradation test, then the testing process is simple, but the testing accuracy is low
Solution Approach 1:
The patent transforms the linear Wiener process into a nonlinear Wiener process by introducing time conversion factors and selecting appropriate time conversion models (power function, exponential, logarithmic). This parameter change allows the model to capture the nonlinear characteristics of product performance degradation while maintaining mathematical tractability for reliability estimation.
Solution Approach 2:
The patent introduces dynamic time conversion factors that adapt to different degradation stages and stress conditions. By selecting different time conversion models based on the specific product and stress conditions, the system dynamically adjusts to match the actual nonlinear degradation pattern, improving accuracy without requiring a completely new testing framework.
2Measurement precision
If nonlinear time conversion models are introduced to account for degradation patterns, then the accuracy of reliability estimation is improved, but the model complexity increases
Solution Approach 1:
The patent segments the time conversion modeling into distinct categories (power function model, exponential model, logarithmic model), each suitable for different degradation patterns. This segmentation allows practitioners to select the appropriate model based on the specific product characteristics and stress conditions, managing complexity through modular model selection rather than a single complex unified model.
Solution Approach 2:
The patent performs preliminary model selection and validation before conducting the full accelerated degradation test. By pre-establishing the appropriate time conversion model based on product characteristics and stress conditions, the complex modeling work is done in advance, simplifying the actual testing process while maintaining high accuracy.
Data Source
AI summary
A method for processing accelerated degradation test data based on Wiener process includes obtaining accelerated degradation test data of a to-be-tested product, selecting a target time conversion model from a predefined set of time conversion models based on the accelerated degradation test data, constructing a nonlinear Wiener degradation process based on the target time conversion model, determining a product reliability function of the to-be-tested product, and testing the reliabilities of the to-be-tested product based on the product reliability function to obtain product reliability test results of the to-be-tested products.