Fitrianti, Zahra P (2020) AI For Predictive Maintenance For Injection Moulding Machines. Master's Thesis / Essay, Computing Science.
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Abstract
Predictive Maintenance is one of the utmost importance in the production process in industry. One of its examples is preventing a potential bad batch during production. Pertaining to the context of the data, a bad batch is typically indicated by triggering an alert or when an anomaly occurs in the data. In this thesis, we investigate the influence of parameter settings of six injection moulding machines to the potential alerts that are predicted by the models. We hypothesised that any changes in the parameter settings could lead to unusual activity on the machines which would potentially lead to alerts in the observed measurements.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Supervisor name: | Bunte, K. and Biehl, M. |
| Degree programme: | Computing Science |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 14 Sep 2020 09:26 |
| Last Modified: | 17 Sep 2020 10:18 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/23393 |
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