720301 Electrical Instruments and Measurements
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Transcript 720301 Electrical Instruments and Measurements
Chapter 2: Measurement
Errors
Gross Errors or Human Errors
– Resulting from carelessness, e.g.
misreading, incorrectly recording
1
Systematic Errors
– Instrumental Errors
• Friction
• Zero positioning
– Environment Errors
• Temperature
• Humidity
• Pressure
– Observational Error
Random Errors
2
Absolute Errors and Relative
Errors
Absolute Error e X t X m
where X t : True Value
X m : Measured Value
Relative Error %Error
Xt Xm
100%
Xt
3
Accuracy, Precision,
Resolution, and Significant
Figures
– Accuracy (A) and Precision
• The measurement accuracy of 1%
defines how close the measurement
is to the actual measured quality.
• The precision is not the same as the
accuracy of measurement, but they
are related.
Accuracy 1 %Error
x x
Precision 1 n n
xn
xn
x
n
4
a)
b)
If the measured quantity increases or
decreases by 1 mV, the reading becomes
8.936 V or 8.934 V respectively.
Therefore, the voltage is measured with
a precision of 1 mV.
The pointer position can be read to
within one-fourth of the smallest scale
division. Since the smallest scale
division represents 0.2 V, one-fourth of
the scale division is 50 mV.
–
Resolution
•
–
The measurement precision of an
instrument defines the smallest
change in measured quantity that
can be observed. This smallest
observable change is the
resolution of the instrument.
Significant Figures
•
The number of significant figures
indicate the precision of
measurement.
5
Example 2.1: An analog voltmeter is used to
measure voltage of 50V across a resistor.
The reading value is 49 V. Find
a) Absolute Error
b) Relative Error
c) Accuracy
d) Percent Accuracy
Solution
a) e X t X m 50V 49V 1V
b) % Error
Xt Xm
100%
Xt
50V 49V
100% 2%
50V
c) A 1 % Error 1 2% 0.98
d) % Acc 100% 2% 98%
6
Example 2.2: An experiment conducted to
measure 10 values of voltages and the
result is shown in the table below.
Calculate the accuracy of the 4th
experiment.
No.
(V)
No.
(V)
1
98
6
103
2
102
7
98
3
101
8
106
4
97
9
107
5
100
10
99
Solution
xn
x x
x2 ... x10
n
10
98 102 101 97 100 103 98 106 107 99
10
101.1
1
Precision 1
xn xn
97 101.1
1
0.959 96%
xn
101.1
7
Class of Instrument
– Class of instrument is the number
that indicates relative error.
– Absolute Error
e(range)
Class
range
100
– Relative Error
%Error
erange
%Error
erange
Xt
Xm
100% , xt true value
100% , xm measured value
8
Example 2.3 A class 1.0 Voltmeter with range
of 100V, 250V, and 1,000V is used to
measure voltage source with 90V.
Calculate range of voltage and its
relative errors
Solution
1
100V 1V
100
100V 1V, 99V 101V
a) e 100V
1V
100% 1.11%
90V
1
b) e 250V
250V 2.5V
100
250V 2.5V, 247.5V 252.5V
%Error
2.5V
100% 2.77%
90V
1
c) e 1,000V
1,000V 10V
100
1,000V 10V, 990V 1,010V
%Error
%Error
10V
100% 11.11%
90V
9
Measurement Error
Combinations
– When a quantity is calculated
from measurements made on two
(or more) instruments, it must be
assumed that the errors due to
instrument inaccuracy combine is
the worst possible way.
– Sum of Quantities
• Where a quantity is determined as
the sum of two measurements, the
total error is the sum of the absolute
errors in each measurement.
E V1 ΔV1 V2 ΔV2
giving
E V1 V2 ΔV1 ΔV2
10
– Difference of Quantities
• The error of the difference of two
measurements are again additive
E V1 ΔV 1 V2 ΔV 2
V1 V2 ΔV 1 ΔV 2
– Product of Quantities
• When a calculated quantity is the
product of two or more quantities,
the percentage error is the sum of
the percentage errors in each
quantity
P EI
E ΔE I ΔI
EI EΔ I I Δ E ΔEΔI
since
ΔEΔI is very small ,
P EI EΔ I I Δ E
11
EI IE
100%
EI
I E
100%
I E
percentage error
% error in P % error in I % error in E
Quotient of Quantities
% error in
E
% error in E % error in I
I
Quantity Raised to a Power
% error in AB B % error in A
Example 2.4 An 820Ω resistance with an
accuracy of 10% carries a current of
10 mA. The current was measured by
an analog ammeter on a 25mA range
with an accuracy of 2% of full scale.
Calculate the power dissipated in the
resistor, and determine the accuracy of
12
the result.
Solution
P I 2 R 10 mA 820
2
82 mW
error in R 10%
error in I 2% of 25 mA
0.5 mA
0.5 mA
100% 5%
10 mA
%error in I 2 2 5% 10%
%error in P %error in I 2 %error in R
10% 10% 20%
Basics in Statistical Analysis
Arithmetic Mean Value
x1 x2 x3 ... xn
x
n
• Minimizing the effects of random
errors
13
14
– Deviation
• Difference between any one
measured value and the arithmetic
mean of a series of measurements
• May be positive or negative, and the
algebraic sum of the deviations is
always zero
dn x n x
• The average deviation (D) may be
calculated as the average of the
absolute values of the deviations.
D
d 1 d 2 d 3 ... d n
n
15
– Standard Deviation and Probable
of Error
• Variance: the mean-squared value of
the deviations
d 12 d 22 ... d n2
n
2
• Standard deviation or root mean
squared (rms)
d 12 d 22 ... d n2
SD or σ
n
• For the case of a large number of
measurements in which only random
errors are present, it can be shown
that the probable error in any one
measurement is 0.6745 times the
standard deviation:
Probable Error 0 . 6745
16
Example 2.5 The accuracy of five digital
voltmeters are checked by using each of them
to measure a standard 1.0000V from a
calibration instrument. The voltmeter
readings are as follows: V1 = 1.001 V, V2 =
1.002, V3 = 0.999, V4 = 0.998, and V5 =
1.000. Calculate the average measured
voltage and the average deviation.
Solution
V1 V2 V3 V4 V5
5
1.001 1.002 0.999 0.998 1.000
1.000V
5
d1 V1 Vav 1.001 1.000 0.001V
Vav
d 2 V2 Vav 1.002 1.000 0.002V
d 3 0.999 1.000 0.001V
d 4 0.998 1.000 0.002V
d 5 1.000 1.000 0V
d1 d 2 ... d 5
5
0.001 0.002 0.001 0.002 0
0.0012V
5
D
17