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Reference Manual
00809-0100-4801, Rev FA
October 2010
Rosemount 3051S Series
7-4
STATISTICAL PROCESS
MONITORING
Introduction Statistical Process Monitoring (SPM) provides a means for early detection of
abnormal situations in a process environment. The technology is based on
the premise that virtually all dynamic processes have a unique noise or
variation signature when operating normally. Changes in these signatures
may signal that a significant change will occur or has occurred in the process,
process equipment, or transmitter installation. For example, the noise source
may be equipment in the process such as a pump or agitator, the natural
variation in the DP value caused by turbulent flow, or a combination of both.
The sensing of the unique signature begins with the combination of the
Rosemount 3051S pressure transmitter and software resident in the
diagnostic electronics to compute statistical parameters that characterize and
quantify the noise or variation. These statistical parameters are the mean,
standard deviation, and coefficient of variation of the input pressure. Filtering
capability is provided to separate slow changes in the process due to setpoint
changes from the process noise or variation of interest. Figure 7-2 shows an
example of how the standard deviation value is affected by changes in noise
level while the mean or average value remains constant. Figure 7-3 shows an
example of how the coefficient of variation is affected by changes in the
standard deviation and mean.
The calculation of the statistical parameters within the device is accomplished
on a parallel software path used to filter and compute the primary output
signal (such as the 4 - 20 mA output). The primary output is not affected in
any way by this additional capability.
Figure 7-2. Changes in process
noise or variability and affect on
statistical parameters
Standard Deviation increases or decreases with changing noise level.
Process Noise
Standard
Deviation
Mean
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