Irregular Engineering Oscillations and Signal Processing
A special issue of Vibration (ISSN 2571-631X).
Deadline for manuscript submissions: closed (15 January 2019)
Special Issue Editor
Special Issue Information
Dear Colleagues,
The “Dynamics Group” at the Technical University Hamburg, lead by Prof Norbert Hoffmann, is holding a Colloquium on “Irregular engineering vibrations and oscillations” from 10–12 September 2018. Participating partner organisations are the Centre for Audio, Acoustics and Vibration (University of Technology Sydney), Vibration Group (Imperial College) and the Flow Science Lab (University of New South Wales Canberra).
The colloquium aims at bringing together researchers working in different disciplines on engineering complex dynamics away from conventional approaches. Focus of the colloquium is on studying complex dynamics using advanced signal processing tools borrowed from chaos theory and computer science (data mining, deep learning and neural networks).
While the focus is on mechanical and fluid dynamical systems including nonlinear vibrations (friction-induced), irregular oscillations (bioacoustics, biomechanics) fluid–structure interactions and nonlinear dynamics and related to signal analyses, other disciplines (electrical, optical) are not excluded.
The Colloquium will be accompanied by three workshops
- “Nonlinear Time Series Analysis: from physics to engineering”
- “Yankee swap data analysis”—hands-on data analysis using prepared packages
- “Discussion forum” to develop pathways for emerging methods leading from nonlinear dynamics and time series analysis to complex engineering systems analysis
Extended abstracts (deadline 31 July 2018), submitted to participate at the colloquium will be reviewed and, after acceptance, invited for a presentation. All accepted abstracts will have the chance to submit a full-length paper, which can be, after peer-review, considered as an article in this Special Issue of Vibration; deadline 31 October 2018.
Dr. Sebastian Oberst
Guest Editor
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Keywords
- nonlinear vibrations and oscillations
- nonlinear time series analysis
- physical data analysis using complex information
- high fidelity model updating using nonlinear dynamics
- limitations of current experimental designs
- optimisation using evidence-based dynamics
- deep learning and nonlinear time series analysis
- attractor reconstruction using novel metrics
- invariant estimations and uncertainty
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