HP INCFollow

Abstract

Goal for Predictive Maintenance for 3D printing system is to contribute to reduce unplanned

downtime and possible failures, helping the customers save money while building trust. Not all

failure modes can be captured in internal testing owing to variety of usage environments and

usage conditions. For instance, the threshold for specific sensor monitoring might not be

applicable with specific usage conditions for customer(s). In this paper, we describe a process

based on machine learning to predict the lifespan of servo motors (Z-Motor) in terms of number

of layers remaining and generate alarms.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.

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