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The measurement error, of any instrument, is inversely proportional to the number of measurements; either repeated measures on an individual or participants measured in the group.
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SSEST proposed can be used to remove the spatial rotation error of an instrument spindle from the measurement results by first measuring the circular profile of a workpiece at i sections and rotating the workpiece through a small angle, then measuring the circular profile of the workpiece after rotation, and finally analyzing and processing the circular profiles.
The measurement error of an instrument can have 2 sources: systematic and random.
The MDC is the smallest amount of change that falls outside the measurement error of an instrument.
The measurement error of an instrument should be small and sensitive enough to detect real changes in scored function.
The measurement error of an instrument may be considered small enough when the instrument is able to distinguish 7 steps (with a range from 5 to 9) on the measurement range [ 30].
When the instrument was established, the measurement error of the instrument was tested through the matured commercial electrochemical workstation.
However, it is not easy because of the influence of setup error of measurement instrument, and there exists angular errors and displacement errors need to be identified simultaneously.
The duplex samples had the best abrasive wear resistance; their mass loss was almost negligible and within the error of the instrument.
The approach presented herein tackles the raw observables acquired by a laser scanner with additional parameters, a set of geometric calibration parameters that model the systematic error of the instrument to achieve the most accurate point cloud outputs, improving eventual workflow owing to less filtering, better registration and best 3D modeling.
The MDC95 is the minimal detectable change value that falls outside the measurement error of the instrument with 95% probability.
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