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Global technology company ABB recently launched their new Condition-Based Maintenance (CBM) service that enables robot users to create a preventive maintenance schedule for individual or robot fleets based on real-time operational data, optimising productivity and minimising downtime. ABB鈥檚 CBM tool uses real-time data on robot operations to help identify any potential issues that could affect performance鈹乮ncluding duty, speed, acceleration, and gearbox wear. Obtained variables are then compared against other robots in ABB鈥檚 worldwide robot database to calculate the likelihood and timeframe of a potential fault. This tool advises customers whether remedial action is required, and also gives insights on creating a preventive maintenance schedule based on known performance. ABB鈥檚 CBM tool minimises the likelihood of premature failure, extends the rate of mean time between failure (MTBF), and prolongs the operational life of the robot. Earlier, determining failure of key parts such as gearboxes and their functioning used to go undiagnosed. However, early identification of which parts are likely to fail and when spare parts can be purchased and prepared, helps users to plan their budgets. ABB鈥檚 services cover areas ranging from installation and commissioning, repairs and replacements, spares and consumables to robot care packages. Written from a news release.