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An Extended Time Series Algorithm for Modal Identification from Nonstationary Ambient Response Data Only
Joint Authors
Tseng, Tse-Chuan
Chiang, Dar-Yun
Lin, Chang-Sheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Modal Identification is considered from response data of structural systems under nonstationary ambient vibration.
The conventional autoregressive moving average (ARMA) algorithm is applicable to perform modal identification, however, only for stationary-process vibration.
The ergodicity postulate which has been conventionally employed for stationary processes is no longer valid in the case of nonstationary analysis.
The objective of this paper is therefore to develop modal-identification techniques based on the nonstationary time series for linear systems subjected to nonstationary ambient excitation.
Nonstationary ARMA model with time-varying parameters is considered because of its capability of resolving general nonstationary problems.
The parameters of moving averaging (MA) model in the nonstationary time-series algorithm are treated as functions of time and may be represented by a linear combination of base functions and therefore can be used to solve the identification problem of time-varying parameters.
Numerical simulations confirm the validity of the proposed modal-identification method from nonstationary ambient response data.
American Psychological Association (APA)
Lin, Chang-Sheng& Chiang, Dar-Yun& Tseng, Tse-Chuan. 2014. An Extended Time Series Algorithm for Modal Identification from Nonstationary Ambient Response Data Only. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-468471
Modern Language Association (MLA)
Lin, Chang-Sheng…[et al.]. An Extended Time Series Algorithm for Modal Identification from Nonstationary Ambient Response Data Only. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-468471
American Medical Association (AMA)
Lin, Chang-Sheng& Chiang, Dar-Yun& Tseng, Tse-Chuan. An Extended Time Series Algorithm for Modal Identification from Nonstationary Ambient Response Data Only. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-468471
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468471