9410 series Alarms and alerts
Setpoint learning overview
Your meter can learn acceptable ranges or thresholds by monitoring normal operating
values to determine what constitutes a voltage sag or swell in order to help identify
high and low setpoints.
NOTE: To help your meter learn the most accurate values possible, it is important
that learning occur during a period of normal operation. Do not schedule learning
during a period of unusual operations in your system. Do not modify your meter’s
configuration during the learning period as it may stop the learning process.
You can configure the meter so that learned values are applied automatically once the
learning period is complete or require that they are reviewed and manually applied. If a
learned value is invalid, the learned values are not automatically applied, but logged
for review.
Setpoint learning can be used to identify the following values:
Feature Values
Setpoints (Alarms) High limit
Low limit
Sustain until ON
Sustain until OFF
Sag Voltage sag limit
Swell Voltage swell limit
Learning installation mode and learning duration
You can configure learning for manual or automatic mode.
There are two learning installation modes:
• Manual: the meter learns the applicable values but does not begin using the
learned values. The learned values are recorded for review, and you can decide to
use the learned values or adjust them as required before manually implementing
the learned values.
• Automatic: the meter learns the applicable values and begins using those learned
values automatically at the end of the learning period. If a learned value is invalid,
the meter does not apply the value, but the value is recorded in the event log.
You can configure the maximum learning duration. The actual learning duration may
vary, depending on the stability of the system. If the system is stable for a period equal
to one quarter of the maximum learning duration, learning is complete; otherwise, the
learning period will be the maximum learning duration.
Example: Setpoint learning duration in a stable system
In this example, the learning duration is 30 days. When the system is stable for 7.5
days (one quarter of 30 days) learning is complete.
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