Kaman DIT-5200L User Manual

Page 14

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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.

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