The calibration data and best-fit lines below are for two different pressure sen
ID: 2081607 • Letter: T
Question
The calibration data and best-fit lines below are for two different pressure sensors, (sensor 1 and sensor 2) (1) Which sensor has higher sensitivity? Which sensor has lower magnitude of bias? (show your reasoning process, and also mark your results with corresponding unit) (2) The sensors will be read by a data acquisition system, which can detect a minimum change of 0.02 V. Then which sensor has better resolution? How much is this resolution? (show your reasoning process and result with corresponding unit)Explanation / Answer
1) The pressure sensitivity is change in output divided by a corresponding change in the input. That means the slope of the output versus input graph. Since sensor 2 fit line has a greater slope than sensor 1 fit line, we can conclude that the sensor 2 has a greater sensitivity. Slope for sensor 1 is 4/10=0.4 n slope for sensor 2 is 2/3=0.66.
Magnitude bias is the deviation from best fit line of the data. For both the sensors, its the same because data points lie on the best fit lines of the corresponding sensors.
2) Resolution of the sensor is the smallest change that can be detected by the sensor in the quantity it is measuring. Hence, smallest change in input pressure should be detected by the pressure sensor. Sensor 1 detects around 2,3 bar pressure, and sensor 2 detects a change of 2.1 bar. Since the corresponding voltage change is greater than 0.02 volts, we can say that sensor 2 has better resolution
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