Understanding Your Robot’s Condition: Introducing the Robot Diagnosis Dashboard in OptiFact™

Understanding Your Robot’s Condition: Introducing the Robot Diagnosis Dashboard in OptiFact™

Industrial robots generate vast amounts of operational data every day. Until recently, much of this data remained underused, making it challenging for operators to understand the condition of their robotic fleet without manual checks or reactive troubleshooting. As production environments grow more complex, there is increasing value in tools that turn raw machine data into meaningful insights.

OptiFact™ now addresses this need with Robot Diagnosis, a dedicated dashboard designed to help users better understand the internal behavior of their robots and make more informed maintenance decisions.

What Robot Diagnosis Does

The Robot Diagnosis dashboard works by collecting motion-related data directly from the robot’s motors and gearboxes. Using ABB-developed algorithms, OptiFact processes this data and translates it into a health score between 0 and 10, giving users a clear, at‑a‑glance indication of the robot’s current condition.

This score consolidates a range of internal performance factors—such as mechanical behavior, load patterns, and motion characteristics—into one accessible metric. A lower score indicates normal robot operation, while a higher score highlights deviations that may indicate emerging mechanical issues where proactive maintenance could improve performance.

Why It Matters for Production Teams

For operators and maintenance personnel, Robot Diagnosis offers several practical advantages:

  • Earlier awareness of performance changes
    Instead of waiting for visible symptoms or unexpected downtime, teams can monitor developing trends within the robot’s mechanical systems.
  • Better preparation before contacting support
    By the time a service request is made, users already understand the general nature of the issue. This leads to clearer discussions and more precise follow‑up actions.
  • Fewer interruptions and more predictable planning
    With insight into robot condition, maintenance can be scheduled proactively—reducing unplanned stops and enabling teams to plan resources more effectively.

These benefits are particularly relevant in environments where fleets of robots support high‑volume or continuous production. Having consistent, data‑driven diagnostics helps operators prioritize tasks and focus attention where it is most needed.

Value for Service Teams and Engineering Staff

Robot Diagnosis also supports ABB service teams by providing them with structured, relevant diagnostic data from the start. Instead of relying solely on user observations or manual inspection, service specialists receive a clearer picture of trends within the robot’s motion profiles. This reduces back‑and‑forth communication and helps ensure that maintenance recommendations are accurate and timely.

Combined with other OptiFact dashboards—such as Event Logs and Cycle Time analysis—Robot Diagnosis becomes part of a broader toolset that helps factories analyze performance and reduce sources of inefficiency. These dashboards support key use cases including identifying the root causes of production errors and understanding deviations in cycle time performance.

A Data‑Driven Approach to Improving Uptime

As organizations continue to digitalize their operations, the ability to interpret machine data directly at the edge becomes increasingly valuable. OptiFact collects, manages, and analyzes data from robots and other factory devices to support decision‑making in real time.

Robot Diagnosis builds on this foundation by giving users deeper visibility into the health of their robotic fleet. Proactive insights can play a role in improving production availability, reducing long‑term maintenance costs, and supporting more stable operations across the plant.

Accessing Robot Diagnosis

OptiFact users can access the Robot Diagnosis dashboard within their existing license. New users can learn more about the full capabilities of OptiFact on the ABB product webpage.

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