How to read an FFT spectrum: resolution, windows, peaks
After reading, you can compute frequency resolution for a vibration record, justify your window choice, and read spectral peaks as clues rather than diagnoses, using a worked example.
Calibration is how a measurement earns trust. The fundamentals — zero, span, linearity, hysteresis, and uncertainty — every engineer should apply before relying on an instrument.
Every measuring instrument drifts. Electronics age, mechanical parts wear, process conditions shift — and a transmitter that was accurate at commissioning is not automatically accurate a year later. Calibration is the comparison of an instrument's output against a known reference standard, followed by adjustment if the deviation exceeds tolerance. It is the process that turns "the instrument says 100 °C" into "the instrument reports 100 °C within a documented uncertainty."
The two fundamental adjustments on most transmitters are zero and span:
The classic five-point calibration applies known inputs at 0%, 25%, 50%, 75%, and 100% of range and records the output at each point. Zero and span are adjusted first; the intermediate points reveal the remaining errors.
A good calibration is not just "zero and span look right":
All three are quantified during calibration and recorded. An instrument can have perfect zero and span yet fail on linearity — which is exactly why as-found/as-left data matters.
A calibration result is only meaningful if the reference standard is trustworthy. Traceability means the reference instrument can be linked, through an unbroken chain of comparisons, to a national standard. Uncertainty is the quantified doubt around a measurement — the reference's own error, the ambient conditions, the reading resolution — expressed as a range within which the true value lies.
When a calibration certificate says the instrument is "within ±0.1%," the meaningful question is: within 0.1% of what, under what conditions, with what reference uncertainty?