Predicting condition states, based on displacement data, generated by acceleration sensors on industrial linear vibrating screens through neural networks
Research output: Contribution to journal › Article › Research › peer-review
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Research output
- 2024
- Published
I-STEP – A Case Study: Machine Learning powered Condition Monitoring of a Linear Motion Industrial Vibrating Screen
Krukenfellner, P. & Flachberger, H., 13 Nov 2024, VORTRÄGE-Konferenzband: zur 17. Recy & DepoTech-Konferenz. Leoben, p. 529-534 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2023
- Published
Digital Process Monitoring of Stationary Processing Equipment—A Step Toward an Optimized Digital Processing Plant: Presentation of a PhD-Project
Krukenfellner, P. & Flachberger, H., 22 Mar 2023, In: Berg- und hüttenmännische Monatshefte : BHM. 168.2023, 4, p. 184-187 4 p.Research output: Contribution to journal › Article › Research
