@article{Gerhardt1986,
  author    = {Gerhardt, Hans Joachim},
  title     = {Belastung von Rauchabzugsgeraeten bei Windangriff},
  series = {Sanitaer- und Heizungstechnik. 51 (1986), H. 3},
  journal   = {Sanitaer- und Heizungstechnik. 51 (1986), H. 3},
  isbn      = {0036-4401},
  pages     = {150 -- 152},
  year      = {1986},
  language  = {de}
}
@article{GerhardtKramer1984,
  author    = {Gerhardt, Hans Joachim and Kramer, C.},
  title     = {Belastung von RA bei Windangriff},
  series = {Zentralblatt fuer Industriebau. 30 (1984), H. 3},
  journal   = {Zentralblatt fuer Industriebau. 30 (1984), H. 3},
  isbn      = {0044-4227},
  pages     = {214 -- 217},
  year      = {1984},
  language  = {de}
}
@article{ChristenBarteltKowalski2010,
  author    = {Christen, Marc and Bartelt, Perry and Kowalski, Julia},
  title     = {Back calculation of the In den Arelen avalanche with RAMMS: Interpretation of model results},
  series = {Annals of Glaciology},
  volume    = {51},
  journal   = {Annals of Glaciology},
  number    = {54},
  publisher = {Cambridge University Press},
  address   = {Cambridge},
  isbn      = {1727-5644},
  doi       = {10.3189/172756410791386553},
  pages     = {161 -- 168},
  year      = {2010},
  abstract  = {Two- and three-dimensional avalanche dynamics models are being increasingly used in hazard-mitigation studies. These models can provide improved and more accurate results for hazard mapping than the simple one-dimensional models presently used in practice. However, two- and three-dimensional models generate an extensive amount of output data, making the interpretation of simulation results more difficult. To perform a simulation in three-dimensional terrain, numerical models require a digital elevation model, specification of avalanche release areas (spatial extent and volume), selection of solution methods, finding an adequate calculation resolution and, finally, the choice of friction parameters. In this paper, the importance and difficulty of correctly setting up and analysing the results of a numerical avalanche dynamics simulation is discussed. We apply the two-dimensional simulation program RAMMS to the 1968 extreme avalanche event In den Arelen. We show the effect of model input variations on simulation results and the dangers and complexities in their interpretation.},
  language  = {en}
}
@article{SchmitzOligschlaegerEifleretal.1994,
  author    = {Schmitz, G{\"u}nter and Oligschl{\"a}ger, U. and Eifler, G. and Lechner, H.},
  title     = {Automated System for Optimized Calibration of Engine Management Systems},
  year      = {1994},
  language  = {en}
}
@article{NeuJanserKhatibietal.2016,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Orifici, Adrian C.},
  title     = {Automated modal parameter-based anomaly detection under varying wind excitation},
  series = {Structural Health Monitoring},
  volume    = {15},
  journal   = {Structural Health Monitoring},
  number    = {6},
  publisher = {Sage},
  address   = {London},
  issn      = {1475-9217},
  doi       = {10.1177/1475921716665803},
  pages     = {1 -- 20},
  year      = {2016},
  abstract  = {Wind-induced operational variability is one of the major challenges for structural health monitoring of slender engineering structures like aircraft wings or wind turbine blades. Damage sensitive features often show an even bigger sensitivity to operational variability. In this study a composite cantilever was subjected to multiple mass configurations, velocities and angles of attack in a controlled wind tunnel environment. A small-scale impact damage was introduced to the specimen and the structural response measurements were repeated. The proposed damage detection methodology is based on automated operational modal analysis. A novel baseline preparation procedure is described that reduces the amount of user interaction to the provision of a single consistency threshold. The procedure starts with an indeterminate number of operational modal analysis identifications from a large number of datasets and returns a complete baseline matrix of natural frequencies and damping ratios that is suitable for subsequent anomaly detection. Mahalanobis distance-based anomaly detection is then applied to successfully detect the damage under varying severities of operational variability and with various degrees of knowledge about the present operational conditions. The damage detection capabilities of the proposed methodology were found to be excellent under varying velocities and angles of attack. Damage detection was less successful under joint mass and wind variability but could be significantly improved through the provision of the currently encountered operational conditions.},
  language  = {en}
}
@article{Wahle2000,
  author    = {Wahle, Michael},
  title     = {Auf sicheren F{\"u}ßen stehen : Entwicklung eines Maschinenlagers mit einem Federkern aus zelligem Polyurethan},
  series = {Der Konstrukteur},
  volume    = {31},
  journal   = {Der Konstrukteur},
  number    = {6},
  isbn      = {0344-4570},
  pages     = {30 -- 32},
  year      = {2000},
  language  = {de}
}
@article{WilsonBlomeLaFave1996,
  author    = {Wilson, Thomas L and Blome, Hans-Joachim and LaFave, Norman},
  title     = {Astrophysical Cosmology Using a Lunar Ligo},
  series = {Engineering, construction, and operations in space V : proceedings of the Fifth International Conference on Space '96, Albuquerque, New Mexico, June 1-6, 1996 / sponsored by Aerospace Division of the American Society of Civil Engineers ... [et al.]; edite},
  journal   = {Engineering, construction, and operations in space V : proceedings of the Fifth International Conference on Space '96, Albuquerque, New Mexico, June 1-6, 1996 / sponsored by Aerospace Division of the American Society of Civil Engineers ... [et al.]; edite},
  publisher = {The Society},
  address   = {New York},
  isbn      = {0-7844-0177-2},
  pages     = {861 -- 863},
  year      = {1996},
  language  = {en}
}
@article{Blome2001,
  author    = {Blome, Hans-Joachim},
  title     = {Aspekte der modernen Kosmologie},
  series = {Mensch, Leben, Schwerkraft, Kosmos : Perspektiven biowissenschaftlicher Weltraumforschung in Deutschland ; Berichtsband einer Klausurtagung vom 20. - 22.10.2000 in Stuttgart-Hohenheim/Birkach / Hinrich Rahmann ... (Hrsg.). [Ausgerichtet von der Deutschen Gesellschaft f{\"u}r Luft- und Raumfahrt medizin]},
  journal   = {Mensch, Leben, Schwerkraft, Kosmos : Perspektiven biowissenschaftlicher Weltraumforschung in Deutschland ; Berichtsband einer Klausurtagung vom 20. - 22.10.2000 in Stuttgart-Hohenheim/Birkach / Hinrich Rahmann ... (Hrsg.). [Ausgerichtet von der Deutschen Gesellschaft f{\"u}r Luft- und Raumfahrt medizin]},
  publisher = {Heimbach},
  address   = {Stuttgart},
  isbn      = {3-935380-03-8},
  pages     = {50 -- 79},
  year      = {2001},
  language  = {de}
}
@article{FayyaziSardarThomasetal.2023,
  author    = {Fayyazi, Mojgan and Sardar, Paramjotsingh and Thomas, Sumit Infent and Daghigh, Roonak and Jamali, Ali and Esch, Thomas and Kemper, Hans and Langari, Reza and Khayyam, Hamid},
  title     = {Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles},
  volume    = {15},
  number    = {6},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/su15065249},
  pages     = {38},
  year      = {2023},
  abstract  = {Environmental emissions, global warming, and energy-related concerns have accelerated the advancements in conventional vehicles that primarily use internal combustion engines. Among the existing technologies, hydrogen fuel cell electric vehicles and fuel cell hybrid electric vehicles may have minimal contributions to greenhouse gas emissions and thus are the prime choices for environmental concerns. However, energy management in fuel cell electric vehicles and fuel cell hybrid electric vehicles is a major challenge. Appropriate control strategies should be used for effective energy management in these vehicles. On the other hand, there has been significant progress in artificial intelligence, machine learning, and designing data-driven intelligent controllers. These techniques have found much attention within the community, and state-of-the-art energy management technologies have been developed based on them. This manuscript reviews the application of machine learning and intelligent controllers for prediction, control, energy management, and vehicle to everything (V2X) in hydrogen fuel cell vehicles. The effectiveness of data-driven control and optimization systems are investigated to evolve, classify, and compare, and future trends and directions for sustainability are discussed.},
  language  = {en}
}
@article{SaretzkiBergmannDahmannetal.2021,
  author    = {Saretzki, Charlotte and Bergmann, Ole and Dahmann, Peter and Janser, Frank and Keimer, Jona and Machado, Patricia and Morrison, Audry and Page, Henry and Pluta, Emil and St{\"u}bing, Felix and K{\"u}pper, Thomas},
  title     = {Are small airplanes safe with regards to COVID-19 transmission?},
  series = {Journal of Travel Medicine},
  volume    = {28},
  journal   = {Journal of Travel Medicine},
  number    = {7},
  publisher = {Oxford University Press},
  address   = {Oxford},
  issn      = {1708-8305},
  doi       = {10.1093/jtm/taab105},
  year      = {2021},
  language  = {en}
}