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Instantaneous Modal Parameter Identification of Linear Time-Varying Systems Based on Chirplet Adaptive Decomposition
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Instantaneous modal parameter identification of time-varying dynamic systems is a useful but challenging task, especially in the identification of damping ratio.
This paper presents a method for modal parameter identification of linear time-varying systems by combining adaptive time-frequency decomposition and signal energy analysis.
In this framework, the adaptive linear chirplet transform is applied in time-frequency analysis of acceleration response for its higher energy concentration, and the response of each mode can be adaptively decomposed via an adaptive Kalman filter.
Then, the damping ratio of the time-varying systems is identified based on energy analysis of component response signal.
The proposed method can not only improve the accuracy of instantaneous frequency extraction but also ensure the antinoise ability in identifying the damping ratio.
The efficiency of the method is first verified through a numerical simulation of a three-degree-of-freedom time-varying structure.
Then, the method is demonstrated by comparing with the traditional wavelet and time-domain peak method.
The identified results illustrate that the proposed method can obtain more accurate modal parameters in low signal-to-noise ratio (SNR) scenarios.
American Psychological Association (APA)
Zhang, Jie& Shi, Zhiyu. 2019. Instantaneous Modal Parameter Identification of Linear Time-Varying Systems Based on Chirplet Adaptive Decomposition. Shock and Vibration،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1210934
Modern Language Association (MLA)
Zhang, Jie& Shi, Zhiyu. Instantaneous Modal Parameter Identification of Linear Time-Varying Systems Based on Chirplet Adaptive Decomposition. Shock and Vibration No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1210934
American Medical Association (AMA)
Zhang, Jie& Shi, Zhiyu. Instantaneous Modal Parameter Identification of Linear Time-Varying Systems Based on Chirplet Adaptive Decomposition. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1210934
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210934