This book offers an in-depth discussion related to metrological aspects of automated tests. The accuracy of experimental estimates of test object performance is examined from the standpoint of their statistical variance and systematic biases.
The proposed metrological model of automated tests allows to determine the metrological characteristics of measurement means using data from their static and dynamic calibrations. Knowledge of these characteristics provides an ability to examine their impact on the accuracy of test results for the purposes of estimating statistical uncertainties caused by instrumentation errors and eliminating biases that occur as a consequence of inertial properties of measurement means.
Optimization of requirements for measurement errors to ensure a given accuracy of test results is discussed as well.
Proposed approaches and described methods are illustrated by test examples of turbomachinery products.
• Based on modern test practice.
• Many illustrative examples.
• Experienced author.
• For professionals dealing with experimental data analysis as well as for graduate and post-graduate students of engineering specializations.