@inproceedings{PfaffMelcherFranzen2018, author = {Pfaff, Raphael and Melcher, Karin and Franzen, Julian}, title = {Rare event simulation to optimise maintenance intervals of safety critical redundant subsystems}, series = {Proceedings of the European Conference of the PHM Society}, volume = {4}, booktitle = {Proceedings of the European Conference of the PHM Society}, number = {1}, pages = {1 -- 6}, year = {2018}, language = {en} } @article{PfaffEnningSutter2022, author = {Pfaff, Raphael and Enning, Manfred and Sutter, Stefan}, title = {A risk‑based approach to automatic brake tests for rail freight service: incident analysis and realisation concept}, series = {SN Applied Sciences}, volume = {4}, journal = {SN Applied Sciences}, number = {4}, publisher = {Springer}, address = {Cham}, issn = {2523-3971}, doi = {10.1007/s42452-022-05007-x}, pages = {1 -- 14}, year = {2022}, abstract = {This study reviews the practice of brake tests in freight railways, which is time consuming and not suitable to detect certain failure types. Public incident reports are analysed to derive a reasonable brake test hardware and communication architecture, which aims to provide automatic brake tests at lower cost than current solutions. The proposed solutions relies exclusively on brake pipe and brake cylinder pressure sensors, a brake release position switch as well as radio communication via standard protocols. The approach is embedded in the Wagon 4.0 concept, which is a holistic approach to a smart freight wagon. The reduction of manual processes yields a strong incentive due to high savings in manual labour and increased productivity.}, language = {en} } @inproceedings{ShahidiPfaffEnning2017, author = {Shahidi, Parham and Pfaff, Raphael and Enning, Manfred}, title = {The connected wagon - a concept for the integration of vehicle side sensors and actors with cyber physical representation for condition based maintenance}, series = {First International Conference on Rail Transportation}, booktitle = {First International Conference on Rail Transportation}, pages = {1 -- 8}, year = {2017}, language = {en} } @inproceedings{PfaffSchmidtEnning2017, author = {Pfaff, Raphael and Schmidt, B. D. and Enning, Manfred}, title = {Towards inclusion of the freight rail system in the industrial internet of things - Wagon 4.0}, series = {Stephenson Conference, London, March 2017}, booktitle = {Stephenson Conference, London, March 2017}, pages = {1 -- 10}, year = {2017}, language = {en} } @misc{Pfaff2006, type = {Master Thesis}, author = {Pfaff, Raphael}, title = {Modelling of nonlinear systems using piecewise defined models}, year = {2006}, language = {en} } @inproceedings{BueckingPfaffDirksmeier2018, author = {B{\"u}cking, Henrik and Pfaff, Raphael and Dirksmeier, Roger}, title = {Sensor positioning and thermal model for condition monitoring of pressure gas reservoirs in vehicles}, series = {Proceedings of the Fourth European Conference of the Prognostics and Health Management Society, Utrecht, Netherlands, 2018}, booktitle = {Proceedings of the Fourth European Conference of the Prognostics and Health Management Society, Utrecht, Netherlands, 2018}, pages = {5 Seiten}, year = {2018}, language = {en} } @inproceedings{PfaffMoshiriReichetal.2017, author = {Pfaff, Raphael and Moshiri, Amir and Reich, Alexander and G{\"a}bel, Markus}, title = {Modelling of the effect of sanding on the wheel-rail adhesion area}, series = {First International Conference on Rail Transportation}, booktitle = {First International Conference on Rail Transportation}, pages = {1 -- 7}, year = {2017}, language = {en} } @masterthesis{Pfaff2007, type = {Bachelor Thesis}, author = {Pfaff, Raphael}, title = {Automated processing of the ISL Doppler images}, year = {2007}, language = {en} } @inproceedings{PfaffBurnham2008, author = {Pfaff, Raphael and Burnham, Keith J.}, title = {On abstraction and interpretability: a behavioural perspective}, series = {19th International Conference on Systems Engineering 2008 : ICSENG '08 : 19 - 21 Aug. 2008, University of Nevada, Las Vegas, Nevada}, booktitle = {19th International Conference on Systems Engineering 2008 : ICSENG '08 : 19 - 21 Aug. 2008, University of Nevada, Las Vegas, Nevada}, publisher = {IEEE}, address = {Piscataway, NJ}, organization = {International Conference on Systems Engineering <19, 2008, Las Vegas, Nev.>}, isbn = {978-0-7695-3331-5 ; 978-0-7695-2719-2}, pages = {89 -- 94}, year = {2008}, language = {en} } @article{BernauKnoedlerEmontsetal.2022, author = {Bernau, C. R. and Kn{\"o}dler, Matthias and Emonts, Jessica and J{\"a}pel, Ronald Colin and Buyel, Johannes Felix}, title = {The use of predictive models to develop chromatography-based purification processes}, series = {Frontiers in Bioengineering and Biotechnology}, journal = {Frontiers in Bioengineering and Biotechnology}, number = {10}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {2296-4185 (online-ressource)}, doi = {10.3389/fbioe.2022.1009102}, pages = {25 Seiten}, year = {2022}, abstract = {Chromatography is the workhorse of biopharmaceutical downstream processing because it can selectively enrich a target product while removing impurities from complex feed streams. This is achieved by exploiting differences in molecular properties, such as size, charge and hydrophobicity (alone or in different combinations). Accordingly, many parameters must be tested during process development in order to maximize product purity and recovery, including resin and ligand types, conductivity, pH, gradient profiles, and the sequence of separation operations. The number of possible experimental conditions quickly becomes unmanageable. Although the range of suitable conditions can be narrowed based on experience, the time and cost of the work remain high even when using high-throughput laboratory automation. In contrast, chromatography modeling using inexpensive, parallelized computer hardware can provide expert knowledge, predicting conditions that achieve high purity and efficient recovery. The prediction of suitable conditions in silico reduces the number of empirical tests required and provides in-depth process understanding, which is recommended by regulatory authorities. In this article, we discuss the benefits and specific challenges of chromatography modeling. We describe the experimental characterization of chromatography devices and settings prior to modeling, such as the determination of column porosity. We also consider the challenges that must be overcome when models are set up and calibrated, including the cross-validation and verification of data-driven and hybrid (combined data-driven and mechanistic) models. This review will therefore support researchers intending to establish a chromatography modeling workflow in their laboratory.}, language = {en} }