Accelerated Test Data Modeling for Multi-Parameter Reliability Estimation
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Solution Overview
Problem
Conventional reliability tests based on fault data statistics are inadequate for rapid estimation of product reliability during development and production, as they do not account for complex coupling competition situations among multiple performance parameters, leading to limited scope and accuracy in reliability estimation.
Innovation Solution
A method and apparatus for processing accelerated test data based on multiple performance degradation, which involves obtaining performance parameter values under acceleration stress, determining association relationships, and using reliability estimation models such as non-backup coupling, backup coupling, or fusion competition models to calculate reliability functions and estimation indices, considering independent and backup relationships among parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional reliability tests based on fault data statistics are used, then the testing process is simple, but the reliability estimation accuracy is insufficient and cannot account for complex coupling competition situations among multiple performance parameters
Solution Approach 1:
The patent segments the complex reliability estimation problem into distinct components by identifying different association relationships (independent coexistence, backup, competition) among performance parameters. Each relationship type is handled by a specific reliability estimation model (non-backup coupling competition model, backup coupling competition model, fusion competition model), allowing complex multi-parameter interactions to be broken down into manageable segments that can be analyzed separately and combined systematically.
Solution Approach 2:
The patent changes the parameters of the reliability estimation approach by introducing multiple performance parameter values and their association relationships as new variables. Instead of using simple fault data statistics, the method incorporates performance parameter degradation patterns, time transition functions, and stress acceleration factors to transform the estimation problem into a multi-dimensional parameter analysis that captures complex coupling situations.
2Loss of time
If accelerated tests are used to accelerate product failure, then the testing time is reduced, but the complexity of analyzing multiple performance parameter degradation increases
Solution Approach 1:
The patent introduces reliability estimation models as intermediary tools that bridge the gap between accelerated test data and reliability conclusions. These models (non-backup coupling competition model, backup coupling competition model, fusion competition model) serve as mediators that systematically process complex multi-parameter degradation data, accounting for various association relationships and transforming raw test data into meaningful reliability estimates without requiring direct complex analysis of all parameter interactions.
Solution Approach 2:
The patent applies parameter changes by introducing stress acceleration factors and time transition functions that transform the relationship between test conditions and failure patterns. By changing parameters such as stress levels, temperature, and humidity in controlled ways, the accelerated test generates performance parameter degradation data that follows predictable patterns, reducing the complexity of analysis while maintaining the ability to capture complex coupling situations.
3Adaptability or versatility
If multiple performance parameter values are obtained under acceleration stress, then the reliability estimation scope is expanded, but the difficulty of determining association relationships among parameters increases
Solution Approach 1:
The patent segments the complex task of identifying association relationships by categorizing them into distinct types: independent coexistence relationships, backup relationships, and competition relationships. This segmentation allows the use of different reliability estimation models for different relationship types, making the identification process more systematic and manageable while expanding the scope to handle multiple performance parameters with various interaction patterns.
Solution Approach 2:
The patent uses parameter changes in the form of stress acceleration factors and performance parameter thresholds to make association relationships more detectable. By changing stress conditions and monitoring how performance parameters respond, the method transforms subtle parameter interactions into measurable degradation patterns, reducing the difficulty of identifying association relationships while expanding the estimation scope to cover complex multi-parameter scenarios.
Data Source
AI summary
The present disclosure relates to a method and an apparatus for processing accelerated test data based on multiple performance degradation, and a device. The method includes: a computer device obtaining multiple performance parameter values of a target product, and determining an association relationship among the performance parameter values, the association relationship including an independent coexistence relationship and a backup relationship, and the performance parameter values being obtained by applying an acceleration stress to the target product in an acceleration experiment; the computer device determining a reliability estimation model corresponding to the association relationship based on the association relationship, and according to the reliability estimation model and each performance parameter value, obtaining a reliability function of multiple performance degradation corresponding to the target product; the computer device obtaining, according to the reliability function of multiple performance degradation, a product reliability estimation index corresponding to the target product under normal stress.