Reaction Rate
Mathematical translations of time-to-failure data allow for the estimation of product life at normal operating conditions using results from high-stress tests. Applying the arrhenius shift requires the assumption that the failure mechanism remains constant across the temperature range. The model relies on the relationship between thermal energy and the speed of chemical or physical degradation.
Acceleration Factor
Temperature increases provide a predictable multiplier for the aging process in electronic components. Calculated values for the arrhenius shift determine the duration of burn-in cycles or accelerated life testing. A small change in the operating temperature results in a large change in the expected lifetime of a capacitor or semiconductor.
Activation Energy
Thermal sensitivity of a specific material determines the slope of the degradation curve. When using the arrhenius shift, the activation energy represents the minimum energy required to trigger the failure mode. This value is expressed in electron volts and is determined through empirical testing at three or more temperature points.
Reliability Prediction
Data from short-duration tests at extreme heat project the performance of a system over many years of field service. Design engineers use the arrhenius shift to set maintenance intervals and warranty periods. If the activation energy is incorrectly assumed, the predicted lifespan will deviate from actual field observations.
This calculation is a standard tool in the qualification of new sensor hardware. It prevents the need for real-time testing which would delay product releases by several decades. Proper application ensures that safety margins remain valid even as environmental conditions fluctuate.
