STATIC & DYNAMIC CHARACTERISTICS
OF MEASUREMENT SYSTEM
Ø
The
performance characteristics of an instrument are mainly divided into two
categories:
i)
Static characteristics
ii) Dynamic characteristics
Static
characteristics
Ø The set of criteria defined for
the instruments, which are used to measure the quantities which are slowly
varying with time or mostly constant, i.e., do not vary with time, is called
‘static
characteristics’
Ø
The
various static characteristics are:
i) Accuracy ii) Precision
iii) Sensitivity iv) Linearity v) Reproducibility vi) Repeatability vii) Resolution viii) Threshold x) Drift
x) Stability xi) Tolerance xii) Range or span
Accuracy:
Ø
It
is the degree of closeness with which an instrument reading approaches the true
value of the quantity being measured.
Ø
It
indicates the ability of the instrument to indicate the true value of quantity.
Ø
The
accuracy of a measurement means conformity to truth.
Static
error:
Ø
It
is the difference between measured value and true value of the quantity.
Obsolute
or static error:
Es = At –Am
Am = measured value of
the quantity.
At= true value of
quantity.
Relative
error:
Er=static
error / true value
Percentage
relative error %Er = Er x100
Precision:
Ø
It
is the measure of reproducibility i.e., given a fixed value of a quantity,
precision is a measure of the degree of agreement within a group of
measurements. The precision is composed of two characteristics:
a) Conformity:
Consider a resistor having true value as 2385692 ,
which is being measured by an ohmmeter. But
the reader can read consistently, a value as 2.4 M
due to the nonavailability of proper scale. The
error created due to the limitation of the scale
reading is a precision error.
b) Number of significant figures:
The precision of the measurement is obtained from
the number of significant figures, in which
the reading is expressed. The significant figures
convey the actual information about the
magnitude & the measurement precision of the
quantity. The precision can be mathematically
expressed as:
Where, P = precision
Xn = Value of nth measurement
Xn = Average value the set of
measurement values
Difference
between accuracy and precision:
·
An
ammeter having high precision which can take readings to 1/150 of an ampere,
but has a wrong zero adjustment. Now wecan takereading to 1/150 of an ampere
which are consistent and clearly defined since the ammeter is as precise as
ever. However, the readings taken with this ammeter are not accurate, since
they do not conform the truth because of faulty adjustment of zero.
Sensitivity:
Ø
The
sensitivity denotes the smallest change in the measured variable to which the
instrument responds.
Ø
It
is defined as the ratio of output signal to input signal of measuring system..
Mathematically it is expressed as,
S = change in output / change input
Deflection
factor:
Ø
The
reciprocal of the sensitivity is called inverse sensitivity or deflection
factor.
Ø
Deflection
factor = 1 / sensitivity
Resolution
or discrimination:
Ø
It
is the smallest measurable input change.
Threshold:
Ø
It
is the smallest measurable input.
Ø
The
minimum value below which no output change when the input of an instrument is
increased gradually from zero is called the threshold of the instrument.
Ø
Thus
threshold defines minimum value of input which is necessary to cause a
detectable change from zero output.
Linearity:
Ø
The
ability to reproduce the input characteristics symmetrically is called
linearity.
Ø
It
is desirable to have an instrument as linear as possible as the accuracy and
linearity are closely related to each other
Reproducibility
and drift;
Ø
It
is the degree of closeness with which a given value may be repeatedly measured.
Ø
Perfect
reproducibility means that the instrument has no drift.
Ø
No
drift means that given input the measured values do not vary with time.
Range
or span:
Ø
The
minimum and maximum value of quantity for which an instrument is designed to
measure is called its range or span.
Tolerance:
Ø
The
maximum allowable error in the measurement is specified in terms of some value
which is called tolerance.
Dead space or
dead zone:
Ø
For
certain range of input values there is no change in output. This range of input
is called dead space or dead zone.
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