Kaman DIT-5200L User Manual
Page 14

______________________________________________________________________________
Kaman Precision Products
PART NO: 860522-001
www.kamansensors.com
Last Revised 11/16/2012
- 14 -
Sensor/Range Specific Performance
Range,
+/-mil
Rang
e
+/-
mm
Null,
mil
Null,
mm
15N 20N
Typical
Non-
Linearity,
%FR
Max.
Non-
Linearity,
%FR
Typical
Sensor
TempCO
, %FR/
o
C
Equivalent
RMS Input
Noise,
%FR/
Hz @
FR
Equivalent
RMS Input
Noise,
%FR/
Hz @
Null
10 0.25
15
0.40
x 0.15% 0.30% 0.02% 2E-5% 2E-5%
10 0.25
20
0.50 x 0.10% 0.20% 0.02% 2E-5% 2E-5%
20 0.50
25
0.65
x 0.25% 0.50% 0.03% 2E-5% 2E-5%
20 0.50
40 1.0 x 0.15% 0.30% 0.02% 2E-5% 2E-5%
35 0.90
40 1.0 x 0.50% 1.00% 0.03% 2E-5% 1E-5%
50 1.25
60 1.5 x 0.25% 0.50% 0.03% 2E-5% 1E-5%
75 1.90
85 2.2 x 0.50% 1.00% 0.03% 1.5E-5% 1E-5%
Note: Full Range (FR) is considered as twice the +/- Range
Calculating Effective Resolution
To calculate the effective resolution, take the Equivalent RMS Input Noise and multiply it by the
square root of the measurement bandwidth. Peak-to-peak noise is normally 6.6 times higher than
the RMS noise assuming gaussian (randomly distributed) noise.
For Example, to calculate the worst case noise of a 15N system with a +/-0.5 mm (+/- 500
micron) range at a 20 kHz bandwidth:
Step 1) Calculate the full range of the system:
FR (Full Range) = 2 x 500 microns = 1,000 microns
Step 2) Calculate the Equivalent RMS Input Noise in measurement units by multiplying by the Full
Range (don't forget to divide by 100 to take into account the percent).
Resolution at Full Scale is 2E-5%FR/
Hz x 1,000 microns / 100 = 2E-4 microns/Hz
Step 3) Multiply by the square root of the measurement bandwidth to calculate the effective
resolution.
Effective RMS Resolution @ 20kHz = 2E-5%FR/
Hz x 1,000 microns x 20 kHz = 0.028
microns
Step 4
) To approximate the peak-to-peak resolution multiply by 6.6
Effective peak-to-peak resolution @ 20 kHz = 0.028 x 6.6 = 0.185 microns
Note: Output filtering on the DIT-5200L is set to 20 kHz. External filtering is assumed when
calculating resolutions at lower bandwidths.