Complexity–entropy causality plane based on power spectral entropy for complex time series

Yimei Dai, Hesheng Zhang, Xuegeng Mao and Pengjian Shang

Physica A: Statistical Mechanics and its Applications, 2018, vol. 509, issue C, 501-514

Abstract: The complexity–entropy causality plane based on permutation entropy is a powerful tool to discriminate signals from different systems. In this paper, we combine traditional statistical complexity measure and power spectral entropy and construct complexity–entropy causality plane in frequency domain. The power spectral entropy is derived from Fourier transformation, so some features that are obscure in time domain can be extracted in frequency domain. Comparing to permutation entropy, this method is free of parameters. Several time series generated from different classes of systems are analyzed to demonstrate the measure. Results show that these signals can be clearly distinguished in our plane. Then by adding sinusoidal abnormal signal into original one, the abnormal information can be efficiently detected. Finally, we apply it to bearing vibration signals. Empirical consequences illustrate that the start–stop time and classification of fault signal can be clearly determined.

Keywords: Complexity–entropy causality plane; Power spectral entropy; Classification; Fault diagnosis (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118308069
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:509:y:2018:i:c:p:501-514

DOI: 10.1016/j.physa.2018.06.081

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().