NDLI: Nonlinear analysis of the near-surface wind speed time series

Content Provider	IEEE Xplore Digital Library
Author	Ming Zeng Haiyan Jia Qinghao Meng Tiemao Han Zhengcun Liu
Copyright Year	2012
Description	Author affiliation: Institute of Robotics and Autonomous Systems, School of Electrical Engineering and Automation, Tianjin University, China 300072 (Ming Zeng; Haiyan Jia; Qinghao Meng; Tiemao Han; Zhengcun Liu)
Abstract	Research on characteristics of the near-surface wind speed time series can be of great help to understand the mechanisms of odor/gas dispersal and moreover provides useful clues for the optimization of odor/gas source localization algorithms. In this paper, an integrated technique which combines a direct identification method of chaos, i.e., the saturated correlation dimension algorithm with the surrogate data method (an indirect identification method) is proposed to analyze the chaotic characteristics of the near-surface wind speed time series. The analysis procedure includes two stages. Firstly, the GP algorithm is applied to calculate the saturated correlation dimension of the wind speed time series. The value of correlation dimension is 4.1628 ± 0.0022, which indicates that the wind speed time series probably has chaotic characteristics. Then 30 surrogate data sets of original wind speed series are generated by amplitude adjusted Fourier transform (AAFT), and saturated correlation dimension is employed as the statistic of Sigma test. Simulation experiments and numerical analysis show that some deterministic nonlinear components exist in the original wind speed time series. This conclusion provides further confirmation to our pre-assumption, i.e. the near-surface wind speed signal may have chaotic characteristics.
Starting Page	1893
Ending Page	1897
File Size	910581
Page Count	5
File Format	PDF
ISBN	9781467309653
e-ISBN	9781467309646
DOI	10.1109/CISP.2012.6470023
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Chaos Correlation Wind speed near-surface wind speed Time series analysis surrogate data chaotic characteristics Educational institutions time series saturated correlation dimension Delay
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Chaotic Time Series Analysis of Seismic Parameter of Moment

The Chaos and Fractal Characteristics and Predication of Shearer Load Power

A new method on solving correlation dimension of chaotic time-series

Chaotic Dynamics Analysis and Forecast of Stock Time Series

NURBS model for chaotic time series

Chaotic analysis of ocean clutter

Short-term wind speed prediction using support vector regression

Multi-scale entropy analysis of single-point wind speed in outdoor near-surface environments

Chaotic Characteristics of the SSE Composite Index Time Series

Nonlinear analysis of the near-surface wind speed time series

Similar Documents

Chaotic Time Series Analysis of Seismic Parameter of Moment

The Chaos and Fractal Characteristics and Predication of Shearer Load Power

A new method on solving correlation dimension of chaotic time-series

Chaotic Dynamics Analysis and Forecast of Stock Time Series

NURBS model for chaotic time series

Chaotic analysis of ocean clutter

Short-term wind speed prediction using support vector regression

Multi-scale entropy analysis of single-point wind speed in outdoor near-surface environments

Chaotic Characteristics of the SSE Composite Index Time Series

Nonlinear analysis of the near-surface wind speed time series