MEASUREMENT AND INSTRUMENTATION BMCC 4743 - PowerPoint PPT Presentation

1 / 20
About This Presentation
Title:

MEASUREMENT AND INSTRUMENTATION BMCC 4743

Description:

measurement and instrumentation bmcc 4743 lecture 2: performance of static characteristics in measurement and instrumentation mochamad safarudin – PowerPoint PPT presentation

Number of Views:328
Avg rating:3.0/5.0
Slides: 21
Provided by: akak7
Category:

less

Transcript and Presenter's Notes

Title: MEASUREMENT AND INSTRUMENTATION BMCC 4743


1
MEASUREMENT AND INSTRUMENTATIONBMCC 4743
  • LECTURE 2 PERFORMANCE OF STATIC CHARACTERISTICS
    IN MEASUREMENT AND INSTRUMENTATION

Mochamad Safarudin Faculty of Mechanical
Engineering, UTeM 2008
2
Contents
  • Definition of static
  • Requirement of static characteristics
    preservation
  • Static calibration
  • Passive active sensors

3
Definition of Static
  • The steady state relationship between input and
    output of an instrument
  • Measurement of quantities that are constant or
    vary quite slowly with respect to time.
  • It does not involve differential equations.
  • All the static performance characteristics are
    obtained by one form or another via a process
    called static calibration.

4
Contents
  • Definition of static
  • Requirement of static characteristics
    preservation
  • Static calibration
  • Passive active sensors

5
Requirement of static characteristics preservation
  • Precise Accurate
  • Measurements that are close to each other are
    precise
  • Measurements that are close to the correct value
    are accurate
  • Measurements can be
  • Precise but inaccurate
  • Neither precise nor accurate
  • Precise and accurate

6
Examples
Three industrial robots were programmed to place
components at a particular point on a table. The
target point was the center of a circle shown
below. The results are
  • Low precision,
  • low accuracy

(b) Precise not accurate
(c) Precise and accurate
7
Accuracy
Ideal device
Output of device
40
20
Accuracy at of FS
0
20
40
Value of measurand
8
Requirement of static characteristics preservation
  • Repeatability
  • The ability of an instrument to register readings
    accurately repeatedly
  • Linearity
  • The input and output relationship of a linear
    transducer can be represented by the following
    equation
  • where y is the output of transducer, x is the
    input of transducer, m is the slope of curve
    (transfer function), c is the offset.
  • Often, the straight line approach is used for
    certain range of operation for a non-linear
    system.

y mx c
9
Requirement of static characteristics preservation
  • Hysteresis
  • Hysteresis results in predictable error. May be
    due to internal friction, freeplay or looseness
    in the mechanism of an instrument.
  • Also in electrical phenomena (relation between
    the output voltage and the input field current in
    a d.c. generator) - the effect is due to magnetic
    hysteresis of the iron in the field coils.
  • The transfer functions differ with the increase
    and decrease of inputs as shown in the following
    figure.

10
Generalized graph of output/input relationship
where hysteresis is present. (From P. H.
Sydenham, Handbook of Measurement Science, Vol.
2, Chichester, U.K., John Wiley Sons, 1983)
11
Linearity
It is highly desirable that the measurement
system has a linier relationship between input
and output means that the change in output is
proportional to the change in the value of the
measurand Deviation from true linearity is called
linearity error
12
Sensitivity
  • Sensitivity is the ratio of change in magnitude
    of the output to the change in magnitude of the
    measurand
  • SensitivityD(output)/D(input)

13
Sensitivity and Non Linearity
14
Contents
  • Definition of static
  • Requirement of static characteristics
    preservation
  • Static calibration
  • Passive active sensors

15
Static Calibration
  • Imagine a situation in which all inputs (desired,
    interfering or modifying) except one are kept at
    some constant values.
  • The one input under study is varied over some
    range of constant values which causes the
    output(s) to vary over some range of constant
    values.
  • The input/output relationships developed in this
    way comprise a static calibration valid under the
    stated constant conditions of all other inputs.
  • The procedure may be repeated for other inputs
    for overall instrument static behaviour
  • Ultimate objective is to define measurement
    accuracy

16
Contents
  • Definition of static
  • Requirement of static characteristics
    preservation
  • Static calibration
  • Passive active sensors

17
Passive Active Sensors
  • Sensors are often transducer in that they are
    devices that convert input energy of one form
    into output energy of another form.
  • Categorisation of sensors depends on how they
    interact with the environment they are measuring
  • Passive sensors they do not add energy as part
    of the measurement process but may remove energy
    in their operation. E.g. thermocouple converts a
    physical temperature into a voltage signal
  • Active sensors they add energy to the
    measurement environment as part of the
    measurement process. E.g. in a radar or sonar
    system, the distance to some object is measured
    by actively sending out a radio (radar) or
    acoustic (sonar) wave to reflect off some object
    and measure its range from the sensor

18
EXERCISE
  • What is the meaning of the following words
  • Measurand
  • Physical quantity
  • Data
  • Parameter
  • Transducer
  • Actuator

19
ANSWER TO EXERCISE
  • Measurand Physical quantity being measured
  • Physical quantity Variable such as pressure,
    temperature, mass, length, etc
  • Data Information obtained from the
    instrumentation/measurement system as a result of
    the measurements made of the physical quantities
  • Parameter Physical quantity within defined
    (numeric) limits.
  • Transducer A device that converts one form of
    energy to another
  • Actuator Electronic transducer that converts
    electrical energy into mechanical energy

20
Next Lecture
  • Analysis on Experimental Data
  • End of Lecture 2
Write a Comment
User Comments (0)
About PowerShow.com