What should be done if the nonlinearity error is to be reduced?

If you want to reduce nonlinearity, you think you have to be careful first. There can be no mistakes, only in this case certain rules and regulations are adopted.

and measures to reduce nonlinear errors.

The bridge-to-arm ratio of the bridge circuit is increased, and then a differential rectified bridge is adopted.

If the nonlinearity error is reduced, Seaview High School will talk about this, and it must be accurate to divide this.

The way to reduce this error is to take multiple measurements and average them.

To reduce the nonlinearity error, the measures taken need to be answered by professional technicians, and personal ability is limited.

You have to find one of your measures to do this, because only if the data is accurate.

How does this reduce the error? The measure that should be adopted is to be careful and careful.

It is necessary to take certain measures in order to be admitted to the test function, so it is believed that the children are photographed separately at this time.

If you want to reduce nonlinearity, the steps you need to take are very simple and very important.

I don't have any money, what do I think? What measures to take, you can take a deposit according to your own different, one to take.

Non-linear error, should be taken and do not need to take necessary measures, more measurement and more technical debriefing material to advance the technology to be accurate.

How can we reduce the nonlinear error? What kind of facilities should be taken like this, we have to have the simplest Dumbo linear.

If you want to reduce the nonlinear error, the measure that should be taken is to arbitrarily distinguish the structure.

Non-linear coarse error refers to:

Nonlinearity error is relative to linearity error. The input and output of measuring tools such as instruments are respectively scrambled into Cartesian coordinate systems.

, select the appropriate coordinate axis.

If the ideal input-output corresponding point is marked with coordinates, an ideal input-output relationship curve can be obtained. However, if the actual input-output corresponding points are marked with coordinates, an actual input-output relationship curve can be obtained.

Calculation of non-linearity error:

Due to nonlinear error reasons and accidental errors.

is consistent, so it is difficult (impossible) to describe mathematically, and therefore difficult to calculate.

The nonlinearity error can be directly described by the magnitude of the multi-point error. For example, the error is 0% at 0%, + at 25%, 0% at 50%, 75%, and 0% at 100%.

Linearity. The percentage of the maximum deviation (δymax) from the full-scale output (y) between the calibration curve of the sensor and the fitting gently bending straight line under specified conditions is called linearity (linearity is also known as "nonlinearity error"), and the smaller the value, the better the linearity characteristic.

Nonlinearity error is relative to linearity error. The inputs and outputs (measurements, results) of measuring tools such as instruments and meters are used separatelyCartesian coordinate systemThe longitudinal axis and horizontal axis, choose the appropriate oneAxesand mark the ideal input/output corresponding points into the coordinates to obtain an ideal input-output relationship curve.

By marking the actual input-output corresponding points as coordinates, an actual input-output relationship curve can be obtained. Ideally, the two curves should coincide, but this is not possible, and the distance between the two curves is the error. If the two curves are exactly the same shape, but do not coincide, for example, one curve is equivalent to the translation of the other or the slope of a line.

Similarly, the error is linear, otherwise the error is nonlinear.

For example, if the above data is calculated according to the maximum measurement point of 1100, the maximum error is the fifth point, 910-890 = 20 nonlinearity error = 20 1100<3%. In fact, non-linearity errors are always present, cause and chance errors.

The generation is consistent. Generally, it is stipulated that the nonlinear error shall not be greater than the maximum allowable error of Senwang instrumentation. That is to say, as long as there is no deviation, there is no need to consider the nonlinearity of the error.

Because the cause of nonlinear error and the generation of accidental error are the same, it is difficult (impossible) to describe it mathematically, and it is not easy to calculate.

The nonlinearity error can be directly described by the magnitude of the multi-point error. For example, the error is 0% at 0%, + at 25%, 0% at 50%, 75%, and 0% at 100%.

Summary. Here's an example: Suppose you have a thermometer with an accuracy of , and you need to measure the temperature in the room.

Through experiments, the following measurement data are obtained: temperature ( ) 20 21 22 23 24 25 reading ( ) The nonlinear error calculation is carried out using the curve fitting method, assuming that the relationship between the output signal of the thermometer and the temperature is a quadratic function model, the following fitting curve can be obtained: y = - where y is the reading of the thermometer and x is the actual temperature.

The experimental data can be substituted into the above equation to calculate the residuals between each data point and the fitting curve, so as to obtain a nonlinear error. For example, for the first data point, calculate its residuals as: Residuals = - = The same method calculates the residuals of the other data points, resulting in a nonlinearity over the entire temperature range.

Hello, the example of how to calculate the non-linearity error is as follows: from the formula, the calculation formula of the non-linearity error (the unit is related to y, x): nonlinearity error = 100*|max(y-y0)|/xmax-xmin)。

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Extended: The algorithm of nonlinearity defeats stupidity, nonlinearity error = maximum error range. In fact, nonlinear errors always exist, and the causes are consistent with the occurrence of accidental errors.

It is generally stipulated that the non-linearity error shall not be greater than the maximum allowable error of the instrument. That is to say, as long as there is no deviation, there is no need to consider the nonlinearity of the error. [Big Red Chana with flowers].

Here's an example: Suppose you have a thermometer with an accuracy of , and you need to measure the temperature in the room. Through experiments, the following measurement data were obtained:

Temperature( )20 21 22 23 24 25 Reading( )Argument Using the curve fitting method to calculate the nonlinear error, assuming that the relationship between the output signal of the thermometer and the temperature is a quadratic function model, the following fitting trembling curve can be obtained: y = - where y is the reading of the thermometer and x is the actual temperature. The experimental data can be substituted into the above equation to calculate the residuals between each data point and the fitting curve, so as to obtain a nonlinear error.

For example, for the first data point, calculate its residuals as: Residuals = - = The same method calculates the residuals of the other data points, resulting in a nonlinearity over the entire temperature range. <>