bos1234 said:Homework Statement
A non-linear oressure sensor has an input range of 0 to 10 bar and an output range of 0 to 5V. The output voltage at 4 bar is 2.2V. The nonlinearity as a percentage of psan is?
Homework Equations
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The Attempt at a Solution
Drew a straight line using the data given with equation y=1/2x. (0-10 on x-axis;0-5v on y-axis). Therefore at x=4, y=2. 2.2-2=0.2?
Nonlinearity error in instrumentation refers to the deviation of a sensor's output from a straight line when plotted against the input. In simpler terms, it is the amount of error that occurs when the input varies from the ideal linear relationship with the output.
Nonlinearity error is usually calculated by comparing the sensor's actual output with its expected output, which is determined by a reference standard. The difference between the two values is then expressed as a percentage of the expected output.
Nonlinearity error can be caused by a variety of factors, such as improper sensor calibration, environmental conditions, and manufacturing defects. It can also be influenced by the type of sensor technology used and the measurement range.
Nonlinearity error can be minimized by ensuring proper sensor calibration using a reference standard, maintaining stable environmental conditions, and using high-quality sensors with low nonlinearity specifications. Additionally, using appropriate signal conditioning techniques can also help reduce nonlinearity error.
The significance of nonlinearity error depends on the application and the required accuracy of the measurements. In some cases, nonlinearity error may be negligible, while in others, it can have a significant impact on the accuracy and reliability of the measurements. It is always important to consider and compensate for nonlinearity error when designing and using instrumentation systems.