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Published in 2017 at "Chaos"
DOI: 10.1063/1.4998219
Abstract: Transport properties of chaotic systems are computable from data extracted from periodic orbits. Given a sufficient number of periodic orbits, the escape rate can be computed using the spectral determinant, a function that incorporates the…
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Keywords:
escape rates;
transport;
phase space;
periodic orbits ... See more keywords
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Published in 2018 at "Chaos"
DOI: 10.1063/1.5027784
Abstract: Rank-ordered distributions have been a matter of intense study. Often Zipf type invariant scaling is invoked; however, in the last decade the ubiquity of a Discrete Generalized Beta Distribution, DGBD, with two scaling exponents has…
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Keywords:
order;
rank ordered;
first order;
transition ... See more keywords
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Published in 2020 at "Journal of Applied Physics"
DOI: 10.1063/1.5143373
Abstract: Cascade flutter driven by aerodynamic instability leads to severe structural destruction of turbine blades in aircraft engines. The development of a sophisticated methodology for detecting a precursor of cascade flutter is one of the most…
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Keywords:
cascade flutter;
methodology;
dynamical systems;
symbolic dynamics ... See more keywords
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Published in 2023 at "Chaos"
DOI: 10.1063/5.0146022
Abstract: Discretizing a nonlinear time series enables us to calculate its statistics fast and rigorously. Before the turn of the century, the approach using partitions was dominant. In the last two decades, discretization via permutations has…
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Keywords:
time series;
symbolic reconstruction;
reconstruction dynamical;
symbolic dynamics ... See more keywords
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Published in 2019 at "Contemporary Physics"
DOI: 10.1080/00107514.2019.1660714
Abstract: TwoChinese physicists, pioneers in the applications of these methods in the field of nonlinear dynamics and chaos, are the authors of this monograph. Hardly can the effort they made in writing the book be understood,…
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Keywords:
science;
field;
study;
physics ... See more keywords
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Published in 2022 at "Algorithms"
DOI: 10.3390/a15120484
Abstract: Capturing long-term statistics of signals and time series is important for modeling recurrent phenomena, especially when such recurrences are a-periodic and can be characterized by the approximate repetition of variable length motifs, such as patterns…
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Keywords:
quantization symbolic;
time series;
quantization;
symbolic dynamics ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10072512
Abstract: Prognostics and Health Management technologies are useful for early fault detection and optimization of reliability in mechanical systems. Reciprocating compressors units are commonly used in industry for gas pressurization and transportation, and the valves in…
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Keywords:
complex correlation;
fault;
classification;
reciprocating compressor ... See more keywords