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Quick Start Guide
Page 9 of 14
Installation Properties
The Installation Properties page features a table for users to input notes on the equipment the Predict-
Plus device is stored on for reference and context when examining the device. This page also contains
the Baseline Auto Learning trigger setup and a Pump Orientation adjustment feature.
The equipment notes table can be edited by clicking the Edit User Text icon
in the top banner and
clicking the Edit button below the table. Within the Grid Edit window, the free text spaces can be edited
as the user desires. In order to safe the free text, click save in the Grid Edit window and then click the
Save User Text icon
in the top banner.
The Baseline Auto Learning trigger can be set via the drop-down field. This feature will trigger the
Predict-Plus device to log and average the vibration levels in each axis for a specified time range after the
next upload window. Using the drop-down field, select the range of time for the baseline to average and
click the Save icon.
The Pump Orientation adjustment feature can be set by selecting horizontal or vertical orientation from
the drop-down field and clicking save. Upon the next upload time, the device will adjust axes and
orientation diagrams within the Predict-Cloud accordingly.
Configuration
From the Configuration page, upload times, sample rate, and power mode can be set. These settings are
set to a default and should not be adjusted without consulting DXP. When these defaults are changed,
the battery life is subject to change and can no longer be certified with a 1 year life.
Also found on the Configuration page is the Battery Life graph and the setup for background filtering.
Predict-Plus has a filtering feature that allows the device to disregard vibration coming from other
equipment or feedback through the system. This is especially useful in situation where multiple assets
are mounted in close proximity or feeding into a common process. By setting these filters correctly, we
get the most accurate data reported to the cloud.