The sources of alignment error are reported.
After that, the final tool path is modified by considering alignment error, tool radius error and squareness error.
Uncertainty arises naturally in the dynamic testing of structures due to measurement noise, sensor alignment error, modeling error, etc.
Hence, we prefer the second alignment as it creates the smallest visual distortion via maximum alignment.
Direct visual examination of edited alignment was also carried out to minimize the risk of alignment error.
To eliminate errors in distance estimation caused by alignment error, an exact distance is used, derived from an alignment calculated by the Needleman-Wunsch (NW) algorithm.
This negligible error was assigned to interpolation error rather than alignment error.
We set a maximum alignment score of 125.
The signal-to-noise ratio also influences the alignment error.
Alignment algorithms find optimum alignments and maximum alignment scores S of two or more sequences for a given scoring system.
