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9 Publikationen
2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11495 | 
Kruse J, Wörner J, Schneider J, Dörksen H, Pein-Hackelbusch M. Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses . Sensors. 2024;24(11).
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| PubMed | Europe PMC
2022 | Konferenzband | ELSA-ID: 8437
Schaab D, Spanier P, Ehlich M, Fosselmann E, editors. Design Framework for Multiple Infeed DC-Microgrids in Industrial Applications. Piscataway, NJ: IEEE; 2022. (2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)).
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2019 | Konferenzband - Beitrag | ELSA-ID: 12791
Huxol A, Villmer FJ. DoE Methods for Parameter Evaluation in Selective Laser Melting. 13th International-Federation-of-Automatic-Control (IFAC) Workshop on Intelligent Manufacturing Systems (IMS). Amsterdam [u.a.]: Elsevier BV; 2019. (IFAC-PapersOnLine; vol. 52).
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2019 | Konferenzband - Beitrag | ELSA-ID: 12792
Simoni F, Huxol A, Villmer FJ. Approach Towards Surface Improvement in Additively Manufactured Tools. 13th International-Federation-of-Automatic-Control (IFAC) Workshop on Intelligent Manufacturing Systems (IMS). Amsterdam [u.a.]: Elsevier BV; 2019. (IFAC-PapersOnLine; vol. 52).
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2017 | Konferenz - Beitrag | ELSA-ID: 577 |
Huxol A, Davis A, Villmer F-J, Scheideler E. Deployment of Process Capability Analysis for Single-Part Production. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 63–74. (Publication series in direct digital manufacturing ).
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2017 | Konferenz - Beitrag | ELSA-ID: 580 |
Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy . Lemgo; 2017. p. 3–12. ( Publication series in direct digital manufacturing ; vol. 2017).
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2015 | Konferenz - Beitrag | ELSA-ID: 597 |
Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy. Lemgo: Hochschule Ostwestfalen-Lippe; 2015. p. 163–74.
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