Experimental study on early detection of cascade flutter in turbo jet fans using combined methodology of symbolic dynamics, dynamical systems theory, and machine learning-Reference-Cited by-同舟云学术

Experimental study on early detection of cascade flutter in turbo jet fans using combined methodology of symbolic dynamics, dynamical systems theory, and machine learning

Published:2020-06-21 Issue:23 Volume:127 Page:234901
ISSN:0021-8979
Container-title:Journal of Applied Physics
language:en
Short-container-title:Journal of Applied Physics

Author:

Hachijo Takayoshi¹^ORCID,Gotoda Hiroshi¹^ORCID,Nishizawa Toshio²^ORCID,Kazawa Junichi²^ORCID

Affiliation:

1. Department of Mechanical Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan

2. Japan Aerospace Exploration Agency, 7-44-1 Jindaiji-Higashimachi, Chofu-shi, Tokyo 182-8522, Japan

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

https://aip.scitation.org/doi/pdf/10.1063/1.5143373

Reference25 articles.

1. Chaotic dynamics of a swirling flame front instability generated by a change in gravitational orientation

2. Chaos of radiative heat-loss-induced flame front instability

3. Nonlinear dynamics of a buoyancy-induced turbulent fire

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