@book{JanserHavermann2012,
  author    = {Janser, Frank and Havermann, Marc},
  title     = {Inkompressible Str{\"o}mungen},
  publisher = {Mainz},
  address   = {Aachen},
  isbn      = {978-3-86130-446-3},
  pages     = {189 S. : Ill., graph. Darst.},
  year      = {2012},
  language  = {en}
}
@incollection{Janser2013,
  author    = {Janser, Frank},
  title     = {Zukunftssicherung im Mittelstand - Kooperation zwischen der Stacke Tresorbau GmbH und der Fachhochschule Aachen},
  series = {Innovation durch Kooperation : wie der Mittelstand durch Zusammenarbeit mit den Hochschulen seine Wettbewerbsf{\"a}higkeit steigert : Festschrift f{\"u}r Prof. Dr. rer. nat. Johannes Gartzen / Thomas Gartzen, Ute Gartzen (Hrsg.)},
  booktitle = {Innovation durch Kooperation : wie der Mittelstand durch Zusammenarbeit mit den Hochschulen seine Wettbewerbsf{\"a}higkeit steigert : Festschrift f{\"u}r Prof. Dr. rer. nat. Johannes Gartzen / Thomas Gartzen, Ute Gartzen (Hrsg.)},
  publisher = {Apprimus Verlag},
  address   = {Aachen},
  isbn      = {978-3-86359-136-6},
  pages     = {179 -- 183},
  year      = {2013},
  language  = {de}
}
@inproceedings{NeuJanserKhatibietal.2015,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Orifici, Adrian C.},
  title     = {Operational modal analysis of a cantilever in a wind tunnel using optical fiber bragg grating sensors},
  series = {6th International Operational Modal Analysis Conference. IOMAC´15. 2015 May 12-14 Gijon - Spain},
  booktitle = {6th International Operational Modal Analysis Conference. IOMAC´15. 2015 May 12-14 Gijon - Spain},
  doi       = {10.13140/RG.2.1.3753.0324},
  pages     = {10 S.},
  year      = {2015},
  language  = {en}
}
@article{BindalSharmaJanseretal.2013,
  author    = {Bindal, Gaurav and Sharma, Sparsh and Janser, Frank and Neu, Eugen},
  title     = {Detailed analysis of variables affecting wing kinematics of bat flight},
  series = {SAE International Journal of Aerospace},
  volume    = {6},
  journal   = {SAE International Journal of Aerospace},
  number    = {2},
  issn      = {1946-3901},
  doi       = {10.4271/2013-01-9003},
  pages     = {811 -- 818},
  year      = {2013},
  language  = {en}
}
@article{HoevelerJanserBindewaldetal.2015,
  author    = {Hoeveler, Bastian and Janser, Frank and Bindewald, Thorsten and Gebhardt, Andreas},
  title     = {Entwurf, Fertigung und Untersuchung eines Windkanalmodells eines innovativen, senkrechtstartenden Kleinflugzeuges},
  series = {RTejournal - Forum f{\"u}r Rapid Technologie},
  journal   = {RTejournal - Forum f{\"u}r Rapid Technologie},
  number    = {12},
  publisher = {Fachhochschule Aachen},
  address   = {Aachen},
  issn      = {1614-0923},
  url       = {http://nbn-resolving.de/urn:nbn:de:0009-2-42921},
  pages     = {1 -- 5},
  year      = {2015},
  language  = {de}
}
@article{NeuJanserKhatibietal.2016,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Braun, Carsten and Orifici, Adrian C.},
  title     = {Operational Modal Analysis of a wing excited by transonic flow},
  series = {Aerospace Science and Technology},
  volume    = {49},
  journal   = {Aerospace Science and Technology},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1270-9638},
  doi       = {10.1016/j.ast.2015.11.032},
  pages     = {73 -- 79},
  year      = {2016},
  abstract  = {Operational Modal Analysis (OMA) is a promising candidate for flutter testing and Structural Health Monitoring (SHM) of aircraft wings that are passively excited by wind loads. However, no studies have been published where OMA is tested in transonic flows, which is the dominant condition for large civil aircraft and is characterized by complex and unique aerodynamic phenomena. We use data from the HIRENASD large-scale wind tunnel experiment to automatically extract modal parameters from an ambiently excited wing operated in the transonic regime using two OMA methods: Stochastic Subspace Identification (SSI) and Frequency Domain Decomposition (FDD). The system response is evaluated based on accelerometer measurements. The excitation is investigated from surface pressure measurements. The forcing function is shown to be non-white, non-stationary and contaminated by narrow-banded transonic disturbances. All these properties violate fundamental OMA assumptions about the forcing function. Despite this, all physical modes in the investigated frequency range were successfully identified, and in addition transonic pressure waves were identified as physical modes as well. The SSI method showed superior identification capabilities for the investigated case. The investigation shows that complex transonic flows can interfere with OMA. This can make existing approaches for modal tracking unsuitable for their application to aircraft wings operated in the transonic flight regime. Approaches to separate the true physical modes from the transonic disturbances are discussed.},
  language  = {en}
}
@book{JanserHavermann2015,
  author    = {Janser, Frank and Havermann, Marc},
  title     = {Inkompressible Str{\"o}mungen},
  edition   = {3. Aufl.},
  publisher = {Verlagshaus Mainz GmbH},
  address   = {Aachen},
  isbn      = {978-3-86130-446-3},
  pages     = {VIII, 83 S. : Ill ; Diagramme},
  year      = {2015},
  language  = {de}
}
@article{NeuJanserKhatibietal.2017,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Orifici, Adrian C.},
  title     = {Fully Automated Operational Modal Analysis using multi-stage clustering},
  series = {Mechanical Systems and Signal Processing},
  volume    = {Vol. 84, Part A},
  journal   = {Mechanical Systems and Signal Processing},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0888-3270},
  doi       = {10.1016/j.ymssp.2016.07.031},
  pages     = {308 -- 323},
  year      = {2017},
  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}
}
@inproceedings{NeuJanserKhatibietal.2016,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Orifici, Adrian C.},
  title     = {In-flight vibration-based structural health monitoring of aircraft wings},
  series = {30th Congress of the internatonal council of the aeronautical sciences : 25.-30. September 2016, Daejeon, Korea},
  booktitle = {30th Congress of the internatonal council of the aeronautical sciences : 25.-30. September 2016, Daejeon, Korea},
  pages     = {10 Seiten},
  year      = {2016},
  abstract  = {This work presents a methodology for automated damage-sensitive feature extraction and anomaly detection under multivariate operational variability for in-flight assessment of wings. The method uses a passive excitation approach, i. e. without the need for artificial actuation. The modal system properties (natural frequencies and damping ratios) are used as damage-sensitive features. Special emphasis is placed on the use of Fiber Bragg Grating (FBG) sensing technology and the consideration of Operational and Environmental Variability (OEV). Measurements from a wind tunnel investigation with a composite cantilever equipped with FBG and piezoelectric sensors are used to successfully detect an impact damage. In addition, the feasibility of damage localisation and severity estimation is evaluated based on the coupling found between damageand OEV-induced feature changes.},
  language  = {en}
}