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153
SVAN 979 User Manual
Exponential
Exponential type of integration of RMS based results
(RMS detector), where averaging is a continuous
process that weighs current and past data differently.
The amount of weight given to past data as compared to
current data depends on the exponential time constant.
In the exponential averaging, the averaging process
continues indefinitely.
Chapter
Statistics
Method for calculation of statistics for RMS results: with
linear detector (Lin) or exponential detector (Exp), e.g.
Impulse, Fast or Slow time constant.
Chapter
Day Time Limits
Definition of the day and night periods required by local
standards: 6
–18h and 7–19h. These limits are used for
the calculation of the L(den) function.
Chapter
Rolling Time
Time frame for the "Rolling Leq" calculation. The Rolling
Leq is presented as LR+<time frame>. For example, if
the
Rolling Time
is equal to 30 minutes, the appropriate
result will be named as LR30 and calculated each
second as Leq integrated during last 30 minutes.
Chapter
Profiles
Virtual broadband level meters, which calculate the set
of results with own weighting filter (
Filter
) and exponential
detector time constant (
Detector
).
Chapter
Filter
Weighting filter applied in the profile in accordance with
most applicable world standards:
- for sound measurements: Z, A, C, B, G,
- for vibration measurements:
o
acceleration: HP, HP1, HP3, HP10, Wh,
o
velocity: Vel1, Vel3, Vel10 and VelMF,
o
displacement: Dil1, Dil3 and Dil10.
Chapter
Appendix C
Appendix D
Detector
Exponential RMS detector time constant applied in the
profile:
-
Impulse
,
Fast
or
Slow
for sound results like
Leq, Lmax,
Lmin, SEL, LEPd, Lden, Spl, LTeq
;
- from 100ms to 10s for vibration results like
RMS, MAX
.
Chapter
Appendix D
D.1.2
Compensation
Filter
Digital filter that compensates some effect:
Free Field
,
Diffuse Field, Outdoor Environment, Outdoor Airport
and
Windscreen
.
Chapter
Free Field
Digital filter that compensates the free field effect.
Chapter
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