Complexity-Entropy Causality Plane Based on Return Intervals: A Useful Approach to Quantify the Aeroengine Gas Path Parameters

The complexity-entropy causality plane, as a powerful tool for discriminating Gaussian from non-Gaussian process, has been recently introduced to describe the complexity among time series. We propose to use this method to distinguish the stage of climb-cruise-decline of aeroengine. Our empirical res...

Full description

Bibliographic Details
Main Authors: Keqiang Dong, Linan Long
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/2126049
id doaj-eb1146cc4c1a4d159cf73a3acb5983bd
record_format Article
spelling doaj-eb1146cc4c1a4d159cf73a3acb5983bd2020-11-24T21:23:56ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/21260492126049Complexity-Entropy Causality Plane Based on Return Intervals: A Useful Approach to Quantify the Aeroengine Gas Path ParametersKeqiang Dong0Linan Long1College of Science, Civil Aviation University of China, Tianjin 300300, ChinaCollege of Science, Civil Aviation University of China, Tianjin 300300, ChinaThe complexity-entropy causality plane, as a powerful tool for discriminating Gaussian from non-Gaussian process, has been recently introduced to describe the complexity among time series. We propose to use this method to distinguish the stage of climb-cruise-decline of aeroengine. Our empirical results demonstrate that this statistical physics approach is useful. Further, the return intervals based complexity-entropy causality plane is introduced to describe the complexity of aeroengine fuel flow time series. The results can infer that the cruise process has lowest complexity and the decline process has highest complexity.http://dx.doi.org/10.1155/2018/2126049
collection DOAJ
language English
format Article
sources DOAJ
author Keqiang Dong
Linan Long
spellingShingle Keqiang Dong
Linan Long
Complexity-Entropy Causality Plane Based on Return Intervals: A Useful Approach to Quantify the Aeroengine Gas Path Parameters
Mathematical Problems in Engineering
author_facet Keqiang Dong
Linan Long
author_sort Keqiang Dong
title Complexity-Entropy Causality Plane Based on Return Intervals: A Useful Approach to Quantify the Aeroengine Gas Path Parameters
title_short Complexity-Entropy Causality Plane Based on Return Intervals: A Useful Approach to Quantify the Aeroengine Gas Path Parameters
title_full Complexity-Entropy Causality Plane Based on Return Intervals: A Useful Approach to Quantify the Aeroengine Gas Path Parameters
title_fullStr Complexity-Entropy Causality Plane Based on Return Intervals: A Useful Approach to Quantify the Aeroengine Gas Path Parameters
title_full_unstemmed Complexity-Entropy Causality Plane Based on Return Intervals: A Useful Approach to Quantify the Aeroengine Gas Path Parameters
title_sort complexity-entropy causality plane based on return intervals: a useful approach to quantify the aeroengine gas path parameters
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description The complexity-entropy causality plane, as a powerful tool for discriminating Gaussian from non-Gaussian process, has been recently introduced to describe the complexity among time series. We propose to use this method to distinguish the stage of climb-cruise-decline of aeroengine. Our empirical results demonstrate that this statistical physics approach is useful. Further, the return intervals based complexity-entropy causality plane is introduced to describe the complexity of aeroengine fuel flow time series. The results can infer that the cruise process has lowest complexity and the decline process has highest complexity.
url http://dx.doi.org/10.1155/2018/2126049
work_keys_str_mv AT keqiangdong complexityentropycausalityplanebasedonreturnintervalsausefulapproachtoquantifytheaeroenginegaspathparameters
AT linanlong complexityentropycausalityplanebasedonreturnintervalsausefulapproachtoquantifytheaeroenginegaspathparameters
_version_ 1725990263597301760