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Chapter 6: Data Recording and Presentation

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Cheap, simple, reliability, poor dynamic response ... Moving coil galvanometer. Ultraviolet light source. Ultraviolet sensitive chart paper ... – PowerPoint PPT presentation

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Title: Chapter 6: Data Recording and Presentation


1
Chapter 6 Data Recording and Presentation
  • Agenda
  • Recording of Data
  • Presentation of data
  • Fitting Curves Techniques

2
Galvalnometric Recorders
  • Cheap, simple, reliability, poor dynamic response
  • Galvanometric (80) the displacement y of the
    pen across the chart recorder is yRsin?
  • error of 0.7 for deflection of ?10o
  • resolution of 1
  • difficult translation the measurement results
  • Knife-edge galvanometric recorder y Rtan? ?
    still non-linear and error 0.7 for ?10o but
    easier interpolation

3
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4
Potentiometric Recorders
  • Accuracy can achieve an inaccuracy of ??0.1
    full scale
  • Resolution 0.2 f.s.
  • Slow response in the range of 0.2-2.0 second ?
    d.c. and slow signals

5
Ultra-Violet Recorder
  • Principle pen of galvanometric beam of
    ultraviolet light mirror
  • Accuracyresolution bandwidth ?13 kHz and
    inaccuracy ??0.2f.s.

6
Other Types of Recorders
  • Fiber-optic recorders
  • Principle direct light onto light sensitive
    paper(similar to oscilloscopes)
  • Expensive, high bandwidth
  • Magnetic tape recorders
  • Record analog signals up to 80kHz
  • Signals can be recorded at high speed and
    replayed at a lower speed?hard copy for
    ultraviolet or galvanometric recorders
  • Two types of analog tape recorder direct
    recording and frequency-modulated recording.
  • Direct recording high data bandwidth, low
    accuracy
  • Frequency-modulated recording higher accuracy,
    80kHz bandwidth
  • Computer data logging
  • Can record signals higher than 80kHz
  • Need analog-to-digital converter

7
Presentation of Data
  • Tabular Data Presentation Present precise
    values, Further calculations
  • Graphical Data Presentation
  • Low accuracy
  • Easy to comprehend
  • Express quantitative significance of results
  • Show relationship between parameters

8
Fitting Curves Techniques
  • Fitting curves approximate to draw a smooth
    curve close to all data points with lowest total
    errors
  • Regression techniques find a mathematical
    relationship between two variables
  • Linear least-squares regression y bx a
  • Find a b such that
  • Solution ?S/?a 0 and ?S/?b 0
  • Result

9
Example
  • From theoretical consideration, it is known that
    the voltage (V) across a charged capacitor decays
    with time (t) according to the relationship V
    Kexp(-t/t). Estimate value for K and t if the
    following values of V and t are measured

10
Solution
  • We have VKexp(-t/t) then lnVlnK-t/t
  • Let y lnV a lnK b -1/t x t. then
  • y abx
  • Apply least-squares method, we have
  • a 1.4718 b - 0.4364
  • Thus K 4.35707 and t 2.29
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