= Hot-wire anemometry
<Hot-wire anemometry> is the measurement method that turns a <hot-wire anemometer>'s heat-transfer signal into a flow <velocity> time series and its statistics. It is especially useful for resolving fluctuations, but the interpreted quantity depends on probe direction, spatial extent and dynamic response. The manufacturer's primary method requires known-flow calibration and separately describes directional and <temperature> sensitivity.<Measurement Principles of CTA by Dantec Dynamics>[Velocity sensitivity, Directional sensitivity and Temperature sensitivity]{ref}
The order of processing matters because a nonlinear calibration does not commute with averaging. For an original relation $E^2=1+0.5\sqrt U$ in numerical volts and metres per second, equal-duration speeds $4$ and $16$ give outputs $\sqrt2$ and $\sqrt3$. Converting their average output gives
$$
U\left(\frac{\sqrt2+\sqrt3}{2}\right)\approx8.6995\,\mathrm{m/s},
$$
whereas converting each output first and then averaging gives the true two-level mean $10\,\mathrm{m/s}$. A proposed processing chain therefore applies the validated instantaneous conversion before calculating statistics, subject to its <bandwidth> and direction limitations.
For equally spaced converted samples, define the record mean and root-mean-square fluctuation by
$$
\overline U=\frac1N\sum_{j=1}^NU_j,\qquad
u_{\rm rms}=\sqrt{\frac1N\sum_{j=1}^N(U_j-\overline U)^2}.
$$
The stipulated record $8,10,12,10\,\mathrm{m/s}$ has mean $10\,\mathrm{m/s}$ and $u_{\rm rms}=\sqrt2\,\mathrm{m/s}$. Its ratio $u_{\rm rms}/\overline U$ is about $14.14\%$. This is the RMS fluctuation of that finite record, not automatically an unbiased estimate based on four independent observations; turbulence samples can be strongly correlated.
The measurement has both temporal and spatial filters. An electronic <anti-aliasing filter> must sufficiently attenuate unresolved fluctuations before digitization; a sampling rate of $10\,\mathrm{kHz}$ has <Nyquist frequency> $5\,\mathrm{kHz}$ regardless of the wire's faster response. Finite wire length produces <hot-wire spatial averaging>, so increasing sampling rate alone cannot recover spatial scales already averaged by the <sensor>. Flow direction changes can also be misread as <speed> changes by a single-wire calibration.
A useful proposed grid-turbulence experiment keeps the wire transverse to a positive mean flow, performs a reference-flow calibration before and after acquisition, records ambient <temperature>, and documents wire geometry, bridge settings, sample rate and filtering. Compare means and fluctuation spectra at different positions and repeat with a shorter wire or a changed electronic <bandwidth>. A changed high-frequency spectrum can reflect instrumental filtering as well as changed flow physics.
The electrical control loop should also be characterized rather than assigning a universal <bandwidth> to the wire alone; the primary description explicitly connects <frequency> response to wire and servo behavior.<Measurement Principles of CTA by Dantec Dynamics>[Frequency response]{ref} A measured time series is evidence for the flow only within the direction, spatial, thermal and <frequency> ranges actually tested.
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