Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

Multifractality of Aeroengine Fuel Flow Time Series

Authors
Hong Zhang, Keqiang Dong
Corresponding Author
Hong Zhang
Available Online March 2017.
DOI
10.2991/emcs-17.2017.296How to use a DOI?
Keywords
Fractal; Aeroengine time series; Time series; Fuel flow
Abstract

In this paper, we analyze the data of aeroengine performance parameters fuel flow (FF). Using the Box-counting dimension method, we find that the aeroengine performance parameters have different power law exponents in the plot for the number of box and diameter of box, which indicates the multifractality exist in the time series. In order to investigate the latent properties of the data, the generalized fractal dimension are calculated. The results show that the multifractality exist in the aeroengine performance data.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
Series
Advances in Computer Science Research
Publication Date
March 2017
ISBN
10.2991/emcs-17.2017.296
ISSN
2352-538X
DOI
10.2991/emcs-17.2017.296How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hong Zhang
AU  - Keqiang Dong
PY  - 2017/03
DA  - 2017/03
TI  - Multifractality of Aeroengine Fuel Flow Time Series
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 1529
EP  - 1533
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.296
DO  - 10.2991/emcs-17.2017.296
ID  - Zhang2017/03
ER  -