Error Synthesis
Composite accuracy metrics quantify the maximum combined deviation between measured output and ideal transfer function values across all operating conditions without prior user calibration. Computing total unadjusted error combines offset, gain, non-linearity, and thermal drift errors into a single statistical or worst-case specification boundary. Expressed as a percentage of full-scale span or absolute voltage.
Parameter Deviation
Individual error components like initial offset voltage, gain temperature coefficient, and non-linearity interact to shift actual sensor response away from ideal curves. Standard data sheets report total unadjusted error to define baseline system accuracy before software calibration algorithms apply gain and offset correction factors. Root-sum-square calculation yields typical bounds, while arithmetic summation yields absolute maximum bounds.
Worst-Case Bound
System designers evaluate worst-case measurement uncertainty to determine whether factory calibration is required during final assembly. Measurement of total unadjusted error occurs across full specified operating temperature ranges and input signal spans using calibrated voltage sources and high-precision reference meters. High baseline error forces end-of-line multi-point calibration to meet target system accuracy goals.
Production testing screens out components whose combined error exceeds published datasheet limits.
Calibration Boundary
External power supply drift and reference voltage tolerances add external offset and gain terms to internal sensor errors. Stating total unadjusted error helps system integrators set overall analog front-end error budgets.