Calculating Burn in Duration to Attenuate Non Linear Sensor Aging
Calculate sensor burn-in time by dividing equivalent operating hours at the infant drift inflection point by the temperature-derived Arrhenius acceleration factor.
Non Linear Sensor Aging
Temporal Drift
A time-dependent degradation of transducer properties proceeds at a rate that varies over the operating lifespan of the device. This process, known as non linear sensor aging, causes the drift of zero-point offsets and sensitivity to occur rapidly at first before tapering off to a slower, more stable rate. It represents the primary reason why new sensing instruments require a run-in period before final calibration.
It must be accounted for to ensure long-term measurement fidelity.
Physical Mechanism
Microstructural changes within the active sensing materials or mechanical packaging cause this non-uniform shift in performance. Internal stresses generated during the manufacturing process relax over time, while chemical oxidation or moisture absorption alters the electrical properties of the transducer. The non linear sensor aging profile usually follows a logarithmic or power-law curve rather than a constant linear progression.
This behavior makes simple linear correction algorithms ineffective for long-term drift prediction. To overcome this limitation, sensor designers must use multi-point calibration or adaptive algorithms that update correction coefficients based on cumulative operating hours.
Compensation Strategy
Digital filtering and calibration coefficients stored in the instrument can reduce the effects of this wear. These software-based corrections adjust the output based on empirical models of non linear sensor aging.
Sensing Limit
The ultimate accuracy of the transducer is bounded by the unpredictable component of non linear sensor aging. Once the drift becomes stochastic, the calibration must be renewed.