Abstract
On the one hand, condition monitoring of industrial robot gears can reduce unexpected downtimes of highly automated production lines and thus save related costs. On the other hand, the implementation and operation of such systems is costly itself. In this context, we present a cost model to compare condition monitoring scenarios with preventive maintenance scenarios for the application of industrial robot gear maintenance. We parameterize this model with data from various sources and use the parameterized model to identify scenarios in which condition monitoring is economically efficient.
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