1. Experimental derivation of a condition monitoring test cycle for machine tool feed drives
- Author
-
Thomas Semm, Michael F. Zaeh, Maximilian Benker, Johannes Ellinger, and Sebastian Junker
- Subjects
0209 industrial biotechnology ,Test bench ,business.product_category ,Computer science ,Mechanical Engineering ,Maintainability ,Condition monitoring ,Control engineering ,02 engineering and technology ,Fault (power engineering) ,Industrial and Manufacturing Engineering ,Field (computer science) ,Bridge (nautical) ,ddc ,Machine Tool ,Machine tool ,Feed drive ,Test cycle ,020303 mechanical engineering & transports ,020901 industrial engineering & automation ,0203 mechanical engineering ,Use case ,business - Abstract
Due to their critical influence on manufacturing accuracy, machine tool feed drives and the monitoring of their condition has been a research field of increasing interest for several years already. Accurate and reliable estimates of the current condition of the machine tool feed drive’s components ball screw drive (BSD) and linear guide shoes (LGSs) are expected to significantly enhance the maintainability of machine tools, which finally leads to economic benefits and smoother production. Therefore, many authors performed extensive experiments with different sensor signals, features and components. Most of those experiments were performed on simplified test benches in order to gain genuine and distinct insights into the correlations between the recorded sensor signals and the investigated fault modes. However, in order to build the bridge between real use cases and scientific findings, those investigations have to be transferred and performed on a more complex test bench, which is close to machine tools in operation. In this paper, a condition monitoring test cycle is developed for such a test bench. The developed test cycle enables the recording of a re-producible data basis, on which models for the condition monitoring of BSDs and LGSs can be based upon.
- Published
- 2021