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Condition-based maintenance

Visibility for best preventive maintenance planning

 

Condition Based Maintenance provides an analysis of the motion cycle of each ABB robot in a factory, to help detect highly stressed robots within a production line. Through in-depth analysis of each robot, a more detailed report is produced based on recorded performance data, containing recommendations for customized preventive maintenance. By providing a clear picture of the status of your robots, Condition Based Maintenance helps avoid costly, unplanned downtime, extends the lifetime of your robots and allows you to improve your maintenance activity and budget planning.

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Key benefits

Prevention of unplanned downtime

Knowing which parts are likely to fail and when enables preventive measures to be taken before a failure can occur, eliminating the risk of unplanned production stoppages by ensuring that robots are kept in good working order.

Reduced service costs

Knowing which robots need the most attention enables you to target your activities and your service budgets accordingly rather than expending unnecessary time, cost and resources on maintaining the whole fleet.

Improved spare parts management

Accurate information on robot performance and potential component wear enables parts to be ordered ‘just in time’ rather than held in stock ‘just in case’.

Shorten the Mean Time To Repair (MTTR)

Using real performance data to guide robot maintenance helps to ensure that essential work such as parts replacement, oil changes etc. is carried out in good time, shortening the MTTR

Extended operational lifetime

Being able to identify the most stressed robots enables individualized service plans to be created for each one that will help to prolong their operational lifetime.

 

How it works

Condition-based Maintenance uses statistical data gathered over the last 14 years from thousands of ABB robots all around the world to evaluate the robots according to a specific set of criteria. The result is then used to produce a comparison of your robot’s performance against the global average, enabling any potential issues to be identified.

 

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