ABB launches a new condition-based maintenance (CBM) service that enables robot users to create a preventive maintenance schedule for individual or robot fleets.
The new service, CBM, uses real-time data on robot operations to help identify any potential issues that could affect performance, such as speed, acceleration and gearbox wear.
The CBM tool can advise whether remedial action is required, involving either repair or replacement of affected parts. This is done by identifying when and which parts are likely to fail, so spare parts can be purchased and prepared without having to hold them in stock.
There is also a report provided for the robot to help customers decide which preventive measures to take, including its serial number, summary table, data analysis, individual maintenance recommendations, conclusions and rating of the system.
“Users will also gain a better understanding of exactly which robots may have an increased risk of component failure,” said Antti Matinlauri, head of product management, ABB Robotics. “For example, if they are over-utilized compared to others in a production line, or if heavy payloads are causing the robot to operate outside of its recommended design parameters for example.”
The CBM service is latest service offered by ABB that is aimed at customers with large fleets of robots.
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