Error of indirect measurements

Работа по теме: LABS_1_2-12. Глава: Indirect measurement error estimation rules. ВУЗ: НАУ.

INDIRECT MEASUREMENT ERRORS
evaluation rules can be obtained only by means of the errors
mathematical theory and differential calculus methods. The error of
indirect measurement depends on the velocity of function change while
the argument varies i.e.


,
,

where
y
and x
are absolute indirect and direct measurement errors.

Therefore, if the function is
presented as


,

then
the measurement error of quantity y
is
defined by the expression



,

where

,…

are partial derivatives of function in respect to independent
arguments.

Fractional error is defined as
follows

.

We get from the previous
expressions


.

According to differentiation
rules, we have


; …
.

Thus, we obtain expression for
fractional error of indirect measurement. It looks as follows:


.

Let’s
apply this expression to the case where the required quantity is
connected with the results of direct measurements by dependence
occurring in physics.

, where A
and k
are constant values, which can be integer or fraction, negative or
positive. Take the logarithm of the function.


.

Calculate partial derivatives
using the table of derivatives


;

;

Using the expression for a
fractional error, one can obtain the formula for fractional error
calculation of the function.


.

Laboratory
work 1
.1

Physical measurement
errors calculation and a solid body density determination

The
purpose

of
the work
:
to study measurement and error types, errors calculation technique;
to determine a body density experimentally.

Theoretical information

The
main purpose of each laboratory work is to measure some physical
value employing special technical means. The result of measurement
shows how the measured value differs from those accepted for a unit
of measurement.

As an example, we consider the
expression for determination of a solid body density of the
cylindrical shape:

,

where
m,
d
and h
are mass, diameter and height of the cylinder respectively.

Work procedure and data processing

To
carry out this work, students should use the data given in table 5.1.
The variant number is chosen in compliance with the teacher’s
directive. The data given in the table are a cylinder height (has
been measured with the help of slide-clipper) and diameter (has been
measured with the help of micrometer). Measurement of each parameter
has been repeated five times.

Table
5.1

Var. No.

Exp. No.

Height

h,
mm

Diam.

d,
mm

Mass

m,
g

Var. No.

Exp. No.

Height

h,
mm

Diam.

d,
mm

Mass

m,
g

1

1

20.1

40.12

26.1

6

1

29.5

20.04

70.6

2

20.3

40.03

25.9

2

29.3

20.08

70.4

3

19.9

39.98

26.4

3

29.9

20.10

70.2

4

20.5

40.09

26.5

4

29.1

20.12

70.9

5

19.8

40.04

25.7

5

29.6

20.05

70.3

2

1

40.1

40.17

127.1

7

1

25.5

40.11

250.5

2

40.7

40.09

125.9

2

25.3

40.17

250.3

3

39.8

39.98

125.4

3

25.9

39.18

250.9

4

40.1

40.06

125.5

4

25.1

40.14

250.1

5

39.9

40.04

126.7

5

25.8

39.19

250.8

3

1

50.6

20.04

137.1

8

1

26.1

20.31

24.3

2

50.4

20.08

135.9

2

25.9

20.33

24.8

3

50.2

20.10

135.4

3

26.4

19.39

24.1

4

50.9

20.12

135.5

4

26.5

20.35

24.9

5

50.3

20.05

136.7

5

25.7

19.38

24.5

4

1

24.3

60.04

23.5

9

1

38.5

43.12

324.3

2

24.8

60.08

23.3

2

38.3

43.03

324.8

3

24.1

60.11

23.9

3

38.8

42.98

324.1

4

24.9

60.02

23.1

4

38.2

43.09

324.9

5

24.5

60.05

23.8

5

38.9

43.04

324.5

5

1

10.6

20.11

32.3

10

1

59.5

20.04

15.2

2

10.4

20.17

32.8

2

59.3

20.08

15.4

3

10.2

19.18

32.1

3

59.9

20.11

15.7

4

10.9

20.14

32.9

4

59.1

20.02

15.1

5

10.3

19.19

32.5

5

59.6

20.05

15.9

The student should do the
following:

1.
Enter the data of his/her variant into table 5.2.

2.
Calculate the average values, random deviation, root-mean-square
error, random and total error of diameter, height, and mass using
formulas (5.1…5.6). Apply the following values of instrumental
error: din=
0.01 mm; hin=
0.05 mm; min=
0.1 g.

3.
Calculate fractional and absolute errors of a solid body density
measurement according to the rules of an indirect measurement error
determination. Therefore to calculate an indirect measurement error
of a solid body density, we use the expression


.

Take the logarithm of the
function.


.

Calculate partial derivatives
using the table of derivatives


;


;

Finally, one can obtain the
formula for fractional error of the density.

or

where
Δρ, Δm,
Δd,
Δh
are absolute measurement errors of the cylinder mass, diameter and
height;

are
average values of the cylinder density, mass, diameter and height.

Knowing the
fractional error, get the absolute error of the density indirect
measurement:


.

The final result of
measurement is expressed as follows:


.

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In most cases unknown value of physical quantity is not measured directly. The required quantity is calculated by the dependence between this quantity and that one determined by direct measurements. The errors of directly measured quantities are known as well.

The general rules of indirect measurement errors evaluation can be obtained only by means of the errors mathematical theory and differential calculus methods. In this work, we consider the error calculation formulas and their application.

Let the required quantity y depends on few values хі, which are measured directly and independently. Dependence y on хі isknown:

, (1)

and absolute error under the identical value of confidence probability a is determined for each directly measured quantity. Then the absolute error of indirect measurements is defined by the expression:

, (2)

where, and so on are partial derivatives of function in respect to separate independent variables , and so on.

Sometimes indirect measurements errors calculation is more convenient to begin with fractional error calculation. Thus, simpler expressions of fractional errors are used.

Measured indirectly fractional error of quantity is defined as follows .

Then from a formula (2) it follows:

.

Accordance to differentiation rules, we have:

Thus, expression for fractional error of indirect measurements looks as follows:

. (3)

Expression (3) includes partial derivatives of function logarithm instead of partial derivatives of function f(x).

Formula (3) is more convenient for the function application:

, (4)

where A, l, m ., к are constant values, which can be integer or fraction, positive or negative.

Having obtained the formula of indirect measurements error, we determine the value of indirectly measured quantity For this purpose, mean values of directly measured quantities are used. An absolute error is calculated as follows:

.

The measurements final result is expressed by:

.

The required quantity measurement error has the same confidence probability as the direct measurements.

Part І. Solid Body Density Determination

In this work, density of a cylinder standard is determined as a result of measurements of its parameters: height h, diameter d and mass m.

Density of homogeneous body is the ratio between its mass and its volume: or, otherwise, density is determined as mass of a unit volume.

Mass is the measure of inert and gravitational properties of a body. It is a scalar and additive physical quantity.

Volume of a cylinder sample is:

Then density of cylinder standard is determined according to a formula:

. (5)

Having written this formula as the expression for fractional error determination will be obtained.

Take the logarithm of the expression:

.

Calculate partial derivatives taken in respect to m, d and h:

; ; .

Putting these partial derivatives values in equation (3), we will obtain the formula for the fractional error calculation:

(6)

Having calculated the fractional error , we get the absolute error:

(7)

The final result of the indirect measurements is expressed as follows:


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Читайте в этой же книге: Measurement error is the measured result deviation from the true value of the measured quantity. (Errors show accuracy of measured values.) | Measurement types | Work procedure and data processing | Theoretical information | Work procedure and data processing | Work procedure and data processing | Work procedure and data processing | Theoretical information | Tasks for the work carrying out | Data processing |


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