ABSTRACT
This paper investigates the optimal selection of processing parameters for motion table performance. The main objective of the mechanism of a one-axis servo motor table is to avoid vibration, thereby reducing experimental error. This experimental controller uses a grey-based Taguchi method to make a quality evaluation of three table characteristics; displacement, arriving time, and torsion. It is shown that the multiple response performance characteristics are greatly improved through this study.
Subject(s)
Industry/instrumentation , Algorithms , Analysis of Variance , Electronics , Equipment Design/standards , Equipment Failure Analysis , Industry/standards , Models, Statistical , Robotics/instrumentation , TransducersABSTRACT
Two experiments were conducted to investigate the effects of duration of stimulus and variability of foreperiod on the identification of multidimensional stimuli. Statistical analysis showed that performance speed and accuracy deteriorated as duration of stimulus was severely limited. Further, subjects seemed to change the allocation of attentional resources according to the attributes of stimulus. They tended to distribute more attentional resources to the less salient attribute which resulted in a statistically nonsignificant effect of order of report under time stress. Variability of foreperiod had very little effect on performance and may not be important to consider in reactions. Implications of these results for the design of multidimensional displays and for human information processing were discussed.
