工业机器人智能维修系统-AI robot repair diagnostics

Example

The system predicts potential failures by monitoring key parameters such as motor temperature, torque, and cycle time. When an anomaly is detected, the system alerts the user for early intervention.

Scenario

In a factory running several ABB IRB 1200 robots, the system predicts a potential servo motor failure due to abnormal torque readings, helping the maintenance team replace the motor before a breakdown occurs【25†source】.

Example

The system provides detailed analysis of fault codes from the robot controller, identifying root causes and suggesting corrective actions based on previous incidents and known solutions【37†source】.

Scenario

When an ABB IRB 460 experiences unexpected motion halts, the system analyzes the fault codes from the IRC5 controller, diagnoses an actuator malfunction, and guides the user through the replacement process【30†source】【33†source】.

Example

Operators can monitor robot performance remotely and receive real-time alerts about operational inefficiencies or malfunctions【40†source】.

Scenario

In a high-volume packaging plant using IRB 760 robots, the system sends alerts to maintenance staff about decreasing operational efficiency in one robot due to accumulated wear in the gear system【42†source】.