What’s New with KUKA Connect

A simple way to detect upcoming robot maintenance issues.

Imagine having the ability to know if unplanned downtime may occur before it actually happens. Now users can do just that with anomaly detection. All users will have a chance to experience this new feature for the next 30 days. After that, the anomaly detection feature will only be available for KUKA robots subscribed to KUKA Connect Plus.

The Robot Details card now features a graph section in the Condition Monitoring tab that displays data-point deviations for motor temperature, current, and torque motor variables. The anomaly detection system learns normal ranges of a robot’s motor variables over time, then detects and notifies the user when repeated deviations outside the normal range occur. Anomaly detection works as an early warning system so the user can take appropriate measures to avoid potential unplanned downtime.

The Robot Details card displays deviations in the Motor Temperature graph for three data points above the norm in red and one below the norm in blue.

How Anomaly Detection Works

Viewing Anomaly Detection Notifications

Once an anomaly detection event occurs, the user receives a notification via the Notifications icon. To view it, click the icon, then select the anomaly notification from the Notifications dropdown.

An anomaly detection event consists of repeated deviations outside the norm over a number of days.

An anomaly detection notification from the Notifications dropdown.

The user is then transferred to the top of the Robot Details card where an anomaly detection banner displays. Click the View in Condition Monitoring button in the banner to navigate to the graph section of the Robot Details card.

Reviewing Anomaly Detection Event in the Robot Details Card

From the graph section, select the motor variable and statistic (e.g., standard deviation, mean) associated with the anomaly detection event.

Once the correct graph displays, the user can review and analyze the frequency and times out-of-norm behavior occurred to aide in troubleshooting the issue. The motor line graphs in the Robot Details card plot both hourly and daily computed statistics of motor variables, which are updated every 10 minutes. These graphs include:

  • Motor Temperature: A line graph of the minimum, median, maximum, average, or standard deviation motor temperature by axis (e.g., Axis 1, Axis 2).
  • Motor Current: A line graph of the minimum, median, maximum, average, or standard deviation motor current by axis (e.g., Axis 1, Axis 2).
  • Motor Force (Torque): A line graph of the minimum, median, maximum, average, or standard deviation motor force by axis (e.g., Axis, Axis 2).

The line graphs display the behavior of the robot at the selected Time Range as follows:

  • Orange Data Points: The value is within the range of normal operating behavior.
  • Red Data Points: The value is above the upper limit of the range of normal operating behavior.
  • Blue Data Points: The value is below the lower limit of the range of normal operating behavior.

The Robot Details card displays orange, red, and blue data points in the Axis 1, Mean statistic configured Motor Temperature graph

SourceKUKA

More information

On KUKA’s official website.