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


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Guest Editor
Centre for Audio, Acoustics and Vibration, University of Technology, Sydney, PO Box 123, Broadway 2007, Australia
Interests: micro-vibrations; friction-induced vibrations; bioacoustics; nonlinear time series analysis; nonlinear dynamics

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vibration is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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

Published Papers (1 paper)

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Review

37 pages, 10607 KiB  
Review
A Brief Introduction to Nonlinear Time Series Analysis and Recurrence Plots
by Bedartha Goswami
Vibration 2019, 2(4), 332-368; https://doi.org/10.3390/vibration2040021 - 08 Dec 2019
Cited by 51 | Viewed by 9651
Abstract
Nonlinear time series analysis gained prominence from the late 1980s on, primarily because of its ability to characterize, analyze, and predict nontrivial features in data sets that stem from a wide range of fields such as finance, music, human physiology, cognitive science, astrophysics, [...] Read more.
Nonlinear time series analysis gained prominence from the late 1980s on, primarily because of its ability to characterize, analyze, and predict nontrivial features in data sets that stem from a wide range of fields such as finance, music, human physiology, cognitive science, astrophysics, climate, and engineering. More recently, recurrence plots, initially proposed as a visual tool for the analysis of complex systems, have proven to be a powerful framework to quantify and reveal nontrivial dynamical features in time series data. This tutorial review provides a brief introduction to the fundamentals of nonlinear time series analysis, before discussing in greater detail a few (out of the many existing) approaches of recurrence plot-based analysis of time series. In particular, it focusses on recurrence plot-based measures which characterize dynamical features such as determinism, synchronization, and regime changes. The concept of surrogate-based hypothesis testing, which is crucial to drawing any inference from data analyses, is also discussed. Finally, the presented recurrence plot approaches are applied to two climatic indices related to the equatorial and North Pacific regions, and their dynamical behavior and their interrelations are investigated. Full article
(This article belongs to the Special Issue Irregular Engineering Oscillations and Signal Processing)
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