Siemens 9810 Series, User Manual, Page: 136 / 218

Alarms and alerts
4. Select Voltage and click Learn .
NOTE: Learning is not supported for Current Swell and Current Sag .
NOTE: You can manually configure the limit values by selecting the
parameter and clicking Edit .
The Global Setpoint Learning screen is displayed.
5. Click Setup .
The Alarm Learning Setup screen is displayed.
Sag/swell limit learning parameters
Parameter Value/Range Description
Install mode Automatic,
Manual
• Automatic: the learned values are automatically
applied.
• Manual: the learned values are stored for you to
review and enter.
Duration 1-365 Days for maximum learning duration.
6. Configure the sag/swell limit learning parameters and click Save .
7. Click Start to begin sag/swell limit learning.
• Learning status and time remaining are indicated in the Learning Status
box.
• Click Abort to stop sag/swell limit learning.
8. Apply the learned sag/swell limits.
–
Automatic: the limits are automatically applied unless there are issues with
the learning process.
–
Manual: navigate to Alarming > Sag/Swell . Select Voltage and click
Learn . Click Install to apply the learned limits.
NOTE: If you click Install while learning is in progress (in either manual or
automatic installation mode), it stops the learning process and prompts
you for confirmation that you want to stop learning and install the learned
limits. Once you have confirmed, the learned limits are automatically
installed or prepared for manual installation.
Implementing transient learning using ION Setup
You can use ION Setup to implement voltage transient learning, which analyzes
your power system and recommends settings.
NOTE: Your meter’s power system must be stable in order to learn valid
transient thresholds.
1. Start ION Setup.
2. Open the Setup Assistant for your meter.
3. Navigate to Alarming > Transient .
4. Select Transient/Waveshape and click Learn .
The Global Setpoint Learning screen is displayed.
5. Click Setup .
The Alarm Learning Setup screen is displayed.
6. Configure the transient threshold learning parameters and click Save .
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