Reliability Design Assistance Using Relational Expression for Input Stress
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Solution Overview
Problem
Conventional reliability design assistance devices struggle to accurately calculate product failure rates when factors such as user physical features and environmental conditions significantly impact input stress, leading to low accuracy in failure rate estimation.
Innovation Solution
A reliability design assistance device that calculates a relational expression associating subject factors with input stress measurement values, using approximation methods and index data to determine input stress and failure rates, and adjusts input stress through finite element analysis, considering user and environmental factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a general stress-strength model is used to calculate failure rate, then the calculation process is simple, but the accuracy is low when user or environmental factors have high correlation with input stress
Solution Approach 1:
The patent transforms the input stress from a simple distribution to a relational expression that incorporates multiple parameters (user physical features, environmental conditions, usage patterns). This allows the model to adapt to varying factors while maintaining computational feasibility through the structured relational approach.
Solution Approach 2:
The patent introduces a relational expression as an intermediary between the stress-strength model and the actual failure calculation. This relational expression acts as a mediator that integrates multiple influencing factors (user features, environment, usage) into the input stress calculation, bridging the gap between simple models and complex real-world conditions.
2Ease of operation
If conventional stress-strength model is used, then the model is easy to apply, but it cannot accurately reflect the impact of user physical features and environmental conditions on input stress
Solution Approach 1:
The patent makes the input stress dynamic by expressing it as a function of multiple variables (user physical features, environmental conditions, usage patterns) rather than a static distribution. This dynamic approach allows the model to adapt to different scenarios while maintaining a systematic calculation framework.
Solution Approach 2:
The patent segments the input stress into distinct components influenced by different factors (user physical features, environmental conditions, usage patterns). Each factor can be independently analyzed and combined through the relational expression, making the complex model more manageable and applicable.
3Measurement precision
If reference value of fault generation is defined, then failure rate can be calculated for indoor products, but the method cannot be used when input stress varies widely as in outdoor products
Solution Approach 1:
The patent creates a universal model that can handle both indoor and outdoor products by using a relational expression framework. This framework can accommodate products with relatively stable input stress (indoor) as well as those with highly variable input stress (outdoor), making the method universally applicable across different product types and environments.
Data Source
AI summary
A relational expression calculator calculates a relational expression by performing approximation calculation for data strings each of which associates the value of a subject factor, which varies according to a user or an environment, with an input stress measurement value that is measured when a subject device is used. An input stress calculator calculates an input stress, which is input to the subject device, according to the relational expression and to index data on the subject factor. A failure rate calculator calculates a failure rate of the subject device according to the input stress and to a characteristic value distribution of the subject device.