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ABB 2600T Series - Page 68

ABB 2600T Series
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68
2600T SERIES | PRESSURE TRANSMITTERS | OI/266/FF-EN REV. E
Block Mapping
Idx Parameter Description / Range / Selections / Notes
 PILD_STATUS Status of the PILD algorithm
 OFF The algorithm is Inactive (Default value)
 NORMAL The algorithm is Active
 TRAINING The algorithm is in training phase
 PILD_OUTPUT Status of the Impulse Lines
 Normal The process connections are OK and the
device is working normally. Lines Not
Plugged
 Not Valid When the PILD algorithm is not working like,
for example, during the Training phase or if
the training phase didn’t produce a valid
result
 Max Pressure
Deviation
The pressure value currently detected is too
different from what used for the Training. A
new Training is necessary for this new
process condition
 One Line Plugged One undetected process connection is
plugged. It was not possible identify which
one
 Two Lines Plugged Both the Process connections, high side (+)
and low side (-) are plugged
 Line H Plugged The Process connection on the high side (+) is
plugged
 Line L Plugged The Process connection on the low side (-) is
plugged
 not used
 PILD_AFFECT_PV
This parameter indicates if
the PILD algorithm must
affect the PRTB_PRIMARY_
VALUE.
if YES, when the PILD reveals
an abnormal situation, it sets
the
PRTB_PRIMARY_VALUE Status
to BAD.
 No
Doesn’t affect primary value status (default
value)
 Yes Affect primary value status
 PILD_DETECTION_TIME
This parameter represents the length of the algorithm slot. This is the time interval (minutes) over which the
algorithm bases the decision on the plugging state of the impulse lines
 PILD_MAX_PRESSURE_DEV
This parameter is used in the normal operation checks. It is the maximum allowed deviation of the differential
pressure from the mean differential pressure Red in the training phase. If the deviation is greater, than the PILD
output is set to OUTPUT NOT VALID, because the conditions are too different from the training phase
 PILD_RETRAIN
The PILD algorithm can be
forced to train again when the
process conditions pass the
maximum allowed deviation
 No Re-trainings are Disabled / not executed
 Yes Affect primary value status
 PILD_TRAIN_TIME This parameter represents the duration of the training period
 PILD_TRAIN_RETRIES
At the end of the training procedure, there are the training checks on the Red data. If they fail, the algorithm is
allowed to retry the procedure adding a further slot of data. This parameter is the max number of allowed retries

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