東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Applications of nonlinear time -seri...

Nichols, Jonathan Michael.

FindBook

Google Book

Amazon

博客來

Applications of nonlinear time -series analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applications of nonlinear time -series analysis./
作者:	Nichols, Jonathan Michael.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2002,
面頁冊數:	124 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-01, Section: B, page: 3880.
Contained By:	Dissertation Abstracts International64-01B.
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3077149
ISBN:	9780493975665

Applications of nonlinear time -series analysis.
Nichols, Jonathan Michael.

Applications of nonlinear time -series analysis. - Ann Arbor : ProQuest Dissertations & Theses, 2002 - 124 p.

Source: Dissertation Abstracts International, Volume: 64-01, Section: B, page: 3880.

Thesis (Ph.D.)--Duke University, 2002.

In this work, new applications in chaos theory and nonlinear time-series analysis are explored. Tools for attractor-based analysis are developed along with a complete description of invariant measures. The focus is on the computation of dimension and Lyapunov spectra from a single time-history for the purposes of system identification. The need for accurate attractor reconstruction is stressed as it may have severe effects on the quality of estimated invariants and of attractor based predictions.

ISBN: 9780493975665Subjects--Topical Terms:

649730
Mechanical engineering.

Applications of nonlinear time -series analysis.
LDR:02916nmm a2200325 4500 001 2054853
005 20170424144342.5
008 170519s2002 ||||||||||||||||| ||eng d
020 $a 9780493975665
035 $a (MiAaPQ)AAI3077149
035 $a AAI3077149
040 $a MiAaPQ $c MiAaPQ
100 1 $a Nichols, Jonathan Michael. $3 2184885
245 1 0 $a Applications of nonlinear time -series analysis.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2002
300 $a 124 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-01, Section: B, page: 3880.
500 $a Supervisor: Lawrence N. Virgin.
502 $a Thesis (Ph.D.)--Duke University, 2002.
520 $a In this work, new applications in chaos theory and nonlinear time-series analysis are explored. Tools for attractor-based analysis are developed along with a complete description of invariant measures. The focus is on the computation of dimension and Lyapunov spectra from a single time-history for the purposes of system identification. The need for accurate attractor reconstruction is stressed as it may have severe effects on the quality of estimated invariants and of attractor based predictions.
520 $a These tools are then placed in the context of several different problems of importance to the engineering community. Dimension and Lyaponuv spectra are used to indicate the operating regime of a nonlinear mechanical oscillator. Subtle changes to the way in which the oscillator is forced may give rise to a response with different state space characteristics. These differences are clearly discernible using invariant measures yet are undetectable using linear-based techniques. A state space approach is also used to extract damping estimates from the oscillator by means of the complete Lyapunov spectrum. The sum of the exponents may be thought of as the average divergence of the system which will, for a viscous damping model, provide quantitative information about the coefficient of viscous damping.
520 $a The notion of chaotic excitation of a linear system is also explored. A linear structure subject to chaotic excitation will effectively act as a filter. The resulting dynamical interaction gives rise to response (filtered) attractors which possess information about the linear system. Differences in the geometric properties of the filtered attractors are used to detect damage in structures. These attractor-based statistics are shown to be more robust indicators of damage than linear-based statistics (e.g. mode shapes, frequencies, etc.). The same procedure is also used to estimate the coefficient of viscous damping for a multi-degree-of-freedom linear structure.
590 $a School code: 0066.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Civil engineering. $3 860360
650 4 $a Physics. $3 516296
690 $a 0548
690 $a 0543
690 $a 0605
710 2 $a Duke University. $3 569686
773 0 $t Dissertation Abstracts International $g 64-01B.
790 $a 0066
791 $a Ph.D.
792 $a 2002
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3077149