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18.5 Repeatability


                                 Repeatability (or reproducibility) refers to a sensor’s ability to give identical outputs for the same input.
                                 Precision (or random) errors cause a lack of repeatability. Fortunately, precision errors can be accounted
                                 for by averaging several measurements or other operations such as low-pass filtering. Electrical noise and
                                 hysteresis (described later) both contribute to a loss of repeatability.

                                 18.6 Linearity and Accuracy

                                 The accuracy of a sensor is inversely proportional to error, i.e., a highly accurate sensor produces low
                                 errors. Many manufacturers specify accuracy in terms of the sensor’s linearity. A least-squares straight-
                                 line fit between all output measurements and their corresponding inputs determines the nominal output
                                 of the sensor. Linearity (or accuracy) is specified as a percentage of full scale (maximum valid input), as
                                 shown in Fig. 18.3, or as a percentage of the sensor reading, as shown in Fig. 18.4. Figures 18.3 and 18.4
                                 show both of these specifications for 10% linearity, which is much larger than most actual sensors.
                                   Accuracy and precision are two terms that are frequently confused. Figure 18.5 shows four sets of
                                 histograms for ten measurements of angular velocity of an actuator turning at a constant 100 rad/s. The
                                 first set of data shows a high degree of precision (low standard deviation) and repeatability, but the























                                 FIGURE 18.3  Linearity specified at full scale.






















                                 FIGURE 18.4  Linearity specified at reading.

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