Fan Life Estimation via Accelerated Temperature Testing
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Solution Overview
Problem
Manufacturers face challenges in accurately estimating the lifespan of fans in heat dissipation modules to prevent CPU overheating and failure, necessitating a reliable method for fan life estimation.
Innovation Solution
A method involving setting working and test temperatures, detecting fan damage under controlled conditions, and using a Weibull distribution model to simulate damage time points and calculate fan life values, incorporating an acceleration factor to estimate fan life at operating temperatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If fans are tested at elevated temperatures to accelerate failure detection, then the testing time is reduced, but the accuracy of estimating real-world fan life at working temperatures deteriorates
Solution Approach 1:
The patent applies parameter changes by using an acceleration factor to mathematically adjust the relationship between test temperature and working temperature. The method changes the temperature parameter from working temperature to elevated test temperature, then uses the acceleration factor to convert the results back to equivalent working temperature life estimates, resolving the contradiction between faster testing and accurate estimation
Solution Approach 2:
The acceleration factor serves as an intermediary that bridges the gap between accelerated test conditions and real-world operating conditions. It mediates the relationship between test temperature and working temperature, allowing results from high-temperature testing to be accurately translated to predictive values for normal operating temperatures
2Measurement precision
If a large number of fans are tested to obtain statistically significant life data, then the estimation accuracy is improved, but the quantity of fans required increases
Solution Approach 1:
The patent applies partial action by requiring only a minimal number of fan failures (N≥0.1M, where M is the total number of fans tested) to achieve statistically significant results. Instead of requiring all fans to fail or testing a very large population, the method achieves adequate statistical significance with a smaller subset of failures, reducing the quantity of fans needed while maintaining estimation accuracy
Data Source
AI summary
A method for estimating a fan life includes the following steps. Fans to be checked at a number of M are provided. A working temperature and a test temperature of a fan are set, and the test temperature is greater than the working temperature. An acceleration factor is set, which has a fixed value. The fans are kept in an operating state at the test temperature, and a number of the damaged fans is detected and recorded at intervals of a check time, until N damaged fans are detected. A distribution of time points when the fans are damaged is simulated with a Weibull distribution model, and a shape parameter and a characteristic life of the Weibull distribution model are calculated. A life value of the fans at the test temperature is calculated. A life value of the fans at the working temperature is calculated by using the acceleration factor.