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Instrumentation and Measurement Techniques
Performance of measurement
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Objective
•Defining terms of performance of measurement systems •Reliability of measurement system •Discuss the requirement of measurement system
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Function of Instruments & Measurement Systems Indicating instruments
:Meter display, digital display
Example: speedometer in car, pressure gauge Recording function
: Data Keeping
Example: Printer, magnetic disc Controlling function
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:Temperature, position, speed, liquid level, flow control.
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Performance assessment • An ideal measuring system is one where the output signal has a linear relationship with the measurand. • Error is the difference between the indicated value and the true value. • Measuring and control system performance can be examined in two ways , • Static performance –when steady or constant input signals are applied • Dynamic performance – when changing input signals are applied OLADOKUN
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Static Performance Indication • Static sensitivity is defined as the ratio of the change in output to the corresponding change in input under static or steady state conditions, • For a system having static sensitivities of K1 ,K2,K3 ……, the overall system sensitivity is given by
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Static Performance Indication • Dynamic performance of both measuring and control system is specified by response to certain standard test inputs • Step input- abrupt change from one steady value to another ,will give the transient response • Ramp input –which varies linearly with time, will give the ramp response • Sine wave input – will give the frequency response
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Terms of performance of measurement
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•True value
•Reliability
•Measured value
•Hysterisis
•Nominal value
•Resolution
•Static error
•Response time
•Relative static error
•Life time
•Accuracy
•Frequency response
•Precision
•Switching time
•Sensitivity
•Bandwidth D1MC Semester 1 / Energy Conservation Management ( ECM06) / May 2007 /
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True value •The real numerical unit. •It is almost impossible to obtain in practice. For example: Light speed = 299792458.63… m/s
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Measured value •Value indicated by an instrument. •It should always follow by its uncertainty in measurement For example: l = (3.5± 0.1) cm R = (102.5 ± 0.2) Ω OLADOKUN
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Nominal value •Value of the quantity specified by the manufacturer •It follows by tolerance For example: l = 3.5cm ± 10% R = 10k Ω ± 5% (True value is between 9.9k Ω and 10.1k Ω) OLADOKUN
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Static error •The different between the measured value and the true value of the quantity.
δA = Am - At δA = static error Am = measured value At = true value OLADOKUN
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Relative Static error •The ratio of static error to true value εr= δA/ At εr= (Am - At )/ At εr = relative static error
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Accuracy •Closeness with which an instrument reading approaches the true value of the quantity measured Example: Reading from instrument A, l = 3.82cm Reading from instrument B, l = 3.91 cm True value, l = 3.90cm Conclusion: Instrument B is more accurate. OLADOKUN
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Precision •It is a measure of reproducibility of the measurement •It composed of 2 characteristics: a) Conformity b) Number of significant figures
Instrument A, l= 3.82, 3.82, 3.81, 3.82… Instrument B, l = 3.82, 3.84, 3.83, 3.80… Conclusion: Instrument A is more precise. OLADOKUN
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Accuracy and Precision True value, l = 1.50mm Instrument A, l = 1.475mm Instrument B, l = 1.49mm Conclusion: Instrument A is more precise Instrument B is more accurate OLADOKUN
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Accuracy and Precision
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Sensitivity The ratio of the magnitude of the output signal or response to a change the magnitude of input signal.
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Example A wheastone bridge requires a change of 7Ω in an unknown arm of the bridge to produced a change in deflection of the galvanometer. Determine the sensitivity Sensitivity = magnitude of output response Magnitude of input = 3mm = 0.429 mm/Ω 7Ω OLADOKUN
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Hysterisis A phenomenon which depicts/shows the difference in output when loading and unloading
Cause: friction, backslash,elastic deformation, magnetic and thermal effects. OLADOKUN
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Resolution/ Discrimination The smallest increment in input which can be detected with certainty by an instrument Example: A mercury thermometer react every 0.5°C of changes of ambient temperature. This thermometer won’t have any reaction if the changes of temperature is 0.4°C And it only move a step if the changes of temperature is 0.6°C OLADOKUN
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Response time The period of time which from it sensing till it reach to steady state condition. Example: A mercury thermometer react every 0.5°C of changes of ambient temperature which require 1.5s to settle. If the temperature change rapidly every 1s, then this thermometer will never could gives a proper value. OLADOKUN
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Frequency response The minimum time that an instrument can sense an instantaneous changes. Example: our eyes cannot see light photon because the rapidly moving of photons is much more faster than our brain processing time.
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Switching time The best on-off time for a switching device which is distortion free. Example: For a device which require 2s to charge up and 3s to discharge. Hence the switching time must be always larger than 5s.
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Bandwidth A range of frequency that can sense by an instrument. Example: The bandwidth of our ears is from 20Hz to 20kHz. Any sound that outside this range is undetectable.
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Others • Range – the limit within which the input can varyresisted thermometer can be quoted to have range of 200 to + 800 degree celcius • Dead band or dead space is used for range where there is no output • Stability –ability of system to give the same output when used to measure a constant input over a period of time. • Dynamic characteristics – are characteristics of measurement that are time dependent OLADOKUN
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Reliability A period of an instrument that maintain its accuracy and precision. Example: After two years of using an instrument… Accuracy of Instrument A drop 1% Accuracy of Instrument B drop 5% Conclusion: Instrument A is more reliable OLADOKUN
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Requirement • Fitness of purpose – measurement to predefined accuracy • Calibration – comparing output with the standards -Company standard -National standards calibration records normally include: Reference number, calibrations data, calibration result, frequency of calibration,, repair and modification information , limitation OLADOKUN
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National Standards •
National standards are defined my international agreement maintain by national establishment like national physics laboratory in great Britain, and national bureau of standards in the US. Primary standards Mass: • Length • Time • Current • Temperature • Luminous intensity • Amount of substance Supplementary standards: • Plane angle • Solid angle Safety system
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Indicated value − True value x 100% True value
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Error Calculation • Accuracy can be stated in terms of errors introduced • Percentage error = Indicated value – True value . X . 100% Maximum scale value Precision is used to specify the closeness of output result when a measuring device is subjected to the same input on a number of occasions OLADOKUN
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EXAMPLE A measuring system consist of a transducer , an amplifier and a recorder, with an individual sensitivities as follows : • Transducer sensitivity 0.2 mV /0 C • Amplifier gain 2.0 V/mV • Recorder sensitivity 5.0 mm /V • Determine the overall system sensitivity • K= K1 x K2x K3 • = 0.2 mV/0C x 2.0V/mVx 5.0 mm/V • =2.0 mm/0 C OLADOKUN
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EXAMPLE A 0 to 10 bar pressure gauge was found to have an error of ± 0.15 bar when calibrated by the manufacturer .Calculate (a) the percentage error of the gauge and (b) the possible error as a percentage of the indicated value when reading of 2.0 bars was obtained in a test . Percentage error = 0.15/10. x 100 = ± 1.5% Possible error = ± 0.15% ∴ error at 2.0 bars = 0.15/10. x 100 =± 7.5% • The gauge is therefore more unreliable at the lower end of its range, and alternative gauge with a more suitable range should be used . OLADOKUN
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EXAMPLE • For a general measuring system where the errors in the transducer, signal conditioner , and recorder are ± 2 % , ± 3%,and ±4 % respectively, calculate the maximum possible system error and the probable or root- sum –square error. • Maximum possible error = ± (2+3+4)% =±9% • Root –sum-square error = ± √(22+32+42)% • = √ 29% =± 5.4% • Thus the error is possibly as large as ± 9% but probably not larger than ± 5.4%. OLADOKUN
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