The phrase "a measured acceleration" is correct and usable in written English.
It can be used in contexts where you want to describe an acceleration that is calculated or controlled, often in scientific or technical discussions.
Example: "The vehicle achieved a measured acceleration of 0 to 60 mph in just six seconds, demonstrating its impressive performance."
Alternatives: "a calculated acceleration" or "a controlled acceleration".
For example, if it is measured in relation to a system moving with uniform acceleration A, then the measured acceleration will be a′ = (a − A).
This paper presents a system identification scheme in time domain to estimate stiffness and damping parameters of a structure using measured acceleration.
A bearing with a machined outer raceway defect was tested in a controlled experiment; the measured acceleration response compared favourably with the numerically modelled acceleration results, thereby, validating the low- and high-frequency characteristics of the de-stressing and re-stressing of the rolling elements, respectively.
The damping ratios can be identified accurately from two "measured" acceleration responses with a high level of measurement white noise as well as model errors in the analytical model.
The lowest measured acceleration for which a player sustained a concussion was 48 g.
Then, the real-time frequency of the cable is calculated from the measured acceleration signals using a time-frequency analysis method referred to as the Hilbert-Huang Transform.
In this method, the Hankel matrix is defined as the covariance matrix of a vector, which is composed of measured acceleration responses, and their time-lagged data.
Extracting damage-sensitive features from measured acceleration responses is still a big challenge in structural damage detection (SDD).
where β is the parameters learnt and adjusted in real time, a s is the mean of the measured acceleration data during the timeslot, and μ is the noise.
If the measured acceleration is higher than an assumed threshold value, the algorithm extracts the person, calculates the features and then executes the SVM-based classifier to authenticate the fall alarm.
