A Condition-Based Maintenance (CBM) service from ABB enables robot users to create a preventive maintenance schedule for individual or robot fleets based on real-time data, to optimise productivity and minimise downtime.
Using real-time data on robot operations helps identify any potential issues that could affect performance, including duty, speed, acceleration, and gearbox wear. These variables are compared against other robots in ABB’s worldwide robot database to calculate the likelihood and timeframe of a potential fault or failure. ABB’s CBM tool can advise whether remedial action is required, involving either repair or replacement of affected parts. By identifying which parts are likely to fail and when, spare parts can be purchased and prepared without having to hold them in stock, helping users to plan their budgets and ensure that resources are available to carry out the work when required.
To help customers decide which preventive measures to take, a report is provided for the robot, including its serial number, summary table, data analysis, individual maintenance recommendations, conclusions, and rating of the system. Using this data, the customer can design an appropriate maintenance schedule – with help from ABB if required.
www.abb.com/robotics | t: 01925 741517