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Let us now discuss the intrinsic characteristics

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or key measurement parameters
that are common across many types of sensors.

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Understanding them will help you
choose the right sensors

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for your design and applications.

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Choosing the right sensor
with the right characteristics

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may help improve the accuracy
of your measurements,

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help you optimize your measurement speed
without sacrificing accuracy,

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avoid the weakest range of a particular sensor,

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and even create an algorithm
to extend your measurement capabilities.

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The sensitivity of a sensor
is the ratio of change

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of the physical parameter input measurement

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versus the change of
electrical output voltage or current.

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The figure shows the sensitivity of two sensors.

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Not all sensors have a linear output.

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Let us assume these two sensors
have linear output.

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The sensor with the red line
has higher sensitivity

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when compared with the sensor
with the blue line.

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For example, if the sensor is
an optical photodiode,

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its sensitivity is the change
of lumens, light intensity,

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measured versus the change of output voltage.

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If the sensor is a thermocouple,

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the sensitivity is the change
of temperature measured

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versus the change of output voltage.

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Dynamic range is a term that describes
the total range that a sensor can measure

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from the physical input parameters

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such as light intensity,
acoustic level, or temperature,

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and converts them
into readable electrical parameters.

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It is the ratio between the largest
and the smallest signals

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that are measurable by the sensor
expressed in decibels, or dB.

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The figure on the left shows an example
of a linear output of a sensor on the red line.

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The solid line defines the sensor's
measurable range,

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and the dotted line is the possible output

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that is beyond the measurable capability
of the sensor.

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The solid line determines the sensor's
measurable dynamic range.

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Linearity is the difference
between an actual curve sensor output

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versus an ideal straight line
of a sensor output.

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Typically, sensors do not produce
a typical straight line or linear output.

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They usually look curvy
or may even have an abrupt drop off

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or change over its dynamic range.

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The blue line in the figure shows an example
of a nonlinear sensor output.

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Its sensor output difference
as compared to an ideal straight line

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or theoretical best straight line determines
the extent of its linearity error.

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Sometimes all sensors have
a hysteresis effect during measurements.

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For example, a temperature sensor
can exhibit this hysteresis effect.

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If you measure a non-temperature point
in the control oven

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from a cold to a hot temperature

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and then measure again
from a hot to a cold temperature,

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the residual difference between
the two temperature measurements

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represent the temperature
hysteresis effect error.

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Similar hysteresis effects can also be noted
with increasing and decreasing pressure

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when measured with a pressure sensor.

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The hysteresis effect makes it look and feel
like the sensor is resisting or is lagging.

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This lag depends on the inherent properties
of the sensor materials

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or design of the sensing element.

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Hysteresis contributes to the non-repeatability
of the sensor measurement.

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There are other reasons for non-repeatability
besides hysteresis.

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When measuring at the lowest point
of the sensor's dynamic range,

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non-repeatability can occur
due to the sensor's susceptibility to noise.

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Sometimes it is due
to electromagnetic interference or EMI

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from a proximity to other parts
of electronic components.

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One of the most critical sensor characteristics
is the measurement response time.

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It is a measurement of how fast
the sensor reacts to change.

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Sometimes, it is referred to
as a time constant of a sensor

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when it is subjected to a step change.

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A product designer will not want
to register a sensor reading too early,

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as the information will be inaccurate.

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Td, as noted over here, is the delay time,

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the time it takes to reach 50%
of a steady-state value for the first time.

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Tp is the peak time, the time it takes
to reach the maximum reading

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for the first time for a given excitement.

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Ts is the time it takes to reach a steady-state
wave repo amplitude

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within the desired steady-state value.

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The steady-state error is a deviation
of the actual desired steady-state value.

