Metrological Drift

Degradation Mechanism

Physical strain gauge creep and electronic component value shifts cause gradual baseline migration. Thermal cycling accelerates internal stress relaxation in silicon diaphragms, shifting zero balance away from factory settings. Component aging in reference voltage sources creates a predictable, monotonic shift in analog-to-digital converter response.

Moisture absorption into sensor encapsulation polymers shifts dielectric constants, introducing parasitic capacitance that skews frequency output. Environmental exposures like continuous vibration or sustained overpressure accelerate structural micro-deformations that alter sensor gain characteristics over time.

Calibration Interval

Predictable drift curves enable operators to establish recalibration schedules based on maximum allowable error thresholds. High-accuracy calibration certificates record historical drift rates to calculate expected measurement uncertainty between calibration cycles. Establishing drift boundaries prevents false out-of-tolerance flags in industrial process monitoring systems.

Uncertainty Assessment

ISO/IEC 17025 accredited laboratories document long-term stability by tracking zero shift and span shift across twelve-month evaluation periods. Calibration certificates record drift corrected values to maintain measurement traceability to national standards. Uncontrolled temperature fluctuations during stability testing introduce environmental errors that mask true sensor drift rates.