Abstract: Strategies are described for analyzing test data received from tests performed on a fire pump, and then automatically computing an overall grade (e.g., excellent, good, fair, or poor) which reflects how the analyzed test data compares with reference data. A standard curve or a manufacturer's curve can serve as the baseline reference data. The output grades can be conveyed in tabular form or graphical form. In the graphical form, the analyzed test data can be plotted for comparison with plural reference curves, where the reference curves demarcate ranges associated with the possible grades.

Abstract: Strategies are described for analyzing test data received from tests performed on a fire pump, and then automatically computing an overall grade (e.g., excellent, good, fair, or poor) which reflects how the analyzed test data compares with reference data. A standard curve or a manufacturer's curve can serve as the baseline reference data. The output grades can be conveyed in tabular form or graphical form. In the graphical form, the analyzed test data can be plotted for comparison with plural reference curves, where the reference curves demarcate ranges associated with the possible grades.

Abstract: Strategies are described for analyzing test data received from tests performed on a fire pump, and then automatically computing an overall grade (e.g., excellent, good, fair, or poor) which reflects how the analyzed test data compares with reference data. A standard curve or a manufacturer's curve can serve as the baseline reference data. The output grades can be conveyed in tabular form or graphical form. In the graphical form, the analyzed test data can be plotted for comparison with plural reference curves, where the reference curves demarcate ranges associated with the possible grades.