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Abstract
This is a study of the measurement system capability and analysis of a gauge block comparator aimed at improving the quality requirements of calibration instruments that ensure system stability. The total variance of measuring instruments includes the following: different measuring environments, precision of measuring equipment, the experience of the measuring staff, and the specifications of the workpiece. The source variations must be converted into data and charted to show the measuring capability of the system.
The main items in a measurement system analysis are the following: stability, bias, linearity, repeatability, and reproducibility. Different experimental models are designed according to different characteristics. After running the data, we can evaluate the data using statistical methods which include the following: hypothesis test, one-sample t-test, two-sample t-test, linear regression analysis, and analysis of variance (F test). We then use statistical software (MINITAB) to do a reliability analysis and list the charts.
Finally, we can determine if the measuring capability of an instrument is accurate enough to provide a reference for instrument calibration and quality assurance. This analysis helps us understand if the measuring instruments are abnormal. Using the analysis method to determine the measurement system can clearly show whether a system is reliable or not.