How It Works; Learning Period; Operating Patterns; Failure Classification - WEG Motor Scan Manual General De Instalación Y Operación

www.weg.net

5.6.1 How It Works

The Diagnosis field (Figure 5.21: 1) informs the motor present condition. If the motor is not healthy, a brief
description of the problem accompanies the condition.
The Events tab (Figure 5.21: 2) records all events generated for the motor. In addition to temperature and
vibration events, by checking the Advanced events option (Figure 5.21: 4), you can see the details of the
learning period, operating patterns and failure analysis.
The Learn button (Figure 5.21: 3), available only for plant administrator users, is used to restart the diagnosis
process. In this case, a new learning period will start with the analysis of its operating patterns.

5.6.2 Learning Period

Before providing any diagnosis information, a 15-day learning period is required. During this time, an analysis is
made to learn the operating patterns of the system (motor + application). If the motor is part of a system with
many variations/operating patterns, the learning period may automatically extend. The figure 5.22 shows an
example of a learning period with the patterns found.
During this period, the user will be informed of the operating patterns found, and if any pattern with vibration
levels above the values set by ISO10816-3 is found, the user will also be notified.
In addition, whenever the users understand that there have been inconsistent measurements, they can restart
the learning, thereby ensuring a better diagnosis process.
Figure 5.22 - Example: Learning period with patterns found in the vibration.

5.6.3 Operating Patterns

WEG Motor Scan, through Artificial Intelligence algorithms, identifies operating patterns. Not only during
the learning period, but also any time there is a change in the system through the vibration and rotation
measurements. Thus, the user can check changes in the system dynamics and, if necessary, take appropriate
actions. The figure 5.23 shows an example of a change in the system operating pattern.
Figure 5.23 - Example: Learning period with patterns changed in the vibration.

5.6.4 Failure Classification

With firmware version 2.1.4 or later, WEG Motor Scan adds WEG knowledge gained over the years to Artificial
Intelligence in order to be able to detect potential motor failures based on the history of vibration data collected
by the sensor.
Possible failures assessed:
• Unbalance
• Misalignment/Clearance
48 Manual of Electric Motors