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Modal identification of linear time ...

Yang, Shifei.

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Modal identification of linear time periodic systems with applications to Continuous-Scan Laser Doppler Vibrometry.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modal identification of linear time periodic systems with applications to Continuous-Scan Laser Doppler Vibrometry./
作者:	Yang, Shifei.
面頁冊數:	200 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
Contained By:	Dissertation Abstracts International75-02B(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3598146
ISBN:	9781303466229

Modal identification of linear time periodic systems with applications to Continuous-Scan Laser Doppler Vibrometry.
Yang, Shifei.

Modal identification of linear time periodic systems with applications to Continuous-Scan Laser Doppler Vibrometry. - 200 p.

Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2013.

Many structures have to be modeled as Linear Time Periodic (LTP) systems to better characterize their time varying behavior, e.g., wind turbines. However, current system identification methods are mostly limited to Linear Time Invariant (LTI) systems. This work develops several frequency domain identification algorithms for LTP systems. These algorithms are completely analogous to the algorithms for LTI systems, and they are capable of extracting the modal parameters of LTP systems under any type of input, using the well-established identification routines for LTI systems. The theory includes two parts; the experimental modal analysis using the harmonic transfer function where the input is controlled and measured, and the output-only modal analysis using the harmonic power spectrum where the input is not measured but is assumed to be uniformly distributed random noise. A simplified output-only algorithm for LTP systems is also developed using the lifting approach, which groups the responses at the same time instant in a period.

ISBN: 9781303466229Subjects--Topical Terms:

649834
Electrical engineering.

Modal identification of linear time periodic systems with applications to Continuous-Scan Laser Doppler Vibrometry.
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245 1 0 $a Modal identification of linear time periodic systems with applications to Continuous-Scan Laser Doppler Vibrometry.
300 $a 200 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
500 $a Adviser: Matthew S. Allen.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2013.
520 $a Many structures have to be modeled as Linear Time Periodic (LTP) systems to better characterize their time varying behavior, e.g., wind turbines. However, current system identification methods are mostly limited to Linear Time Invariant (LTI) systems. This work develops several frequency domain identification algorithms for LTP systems. These algorithms are completely analogous to the algorithms for LTI systems, and they are capable of extracting the modal parameters of LTP systems under any type of input, using the well-established identification routines for LTI systems. The theory includes two parts; the experimental modal analysis using the harmonic transfer function where the input is controlled and measured, and the output-only modal analysis using the harmonic power spectrum where the input is not measured but is assumed to be uniformly distributed random noise. A simplified output-only algorithm for LTP systems is also developed using the lifting approach, which groups the responses at the same time instant in a period.
520 $a The proposed modal identification algorithms are combined with a novel technique, Continuous-Scan Laser Doppler Vibrometry (CSLDV). In CSLDV, the laser continuously sweeps over a structure while measuring, capturing spatially detailed dynamic information in the same amount of time that is required by conventional methods to capture a single point. When the laser spot moves in a closed and periodic pattern on an LTI structure, the acquired velocity signal appears to be from an LTP system. Therefore, the proposed algorithms can be applied to identify modal parameters of the LTI structure. The harmonic transfer function is used to identify the operational shape of a cantilever beam under sinusoidal excitation. The speckle noise and uncertainty of CSLDV are discussed. The harmonic transfer function is also used to simultaneously measure the translational and rotational velocities of a small region by scanning a small circle around the point of interest. The harmonic power spectrum and lifting approach are used to extract the first few modes of a parked wind turbine measured with CSLDV. Finally, the harmonic power spectrum is used to extract the periodic modes of an operating turbine, which has to be modeled as a general LTP system.
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650 4 $a Mechanical engineering. $3 649730
650 4 $a Mechanics. $3 525881
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710 2 $a The University of Wisconsin - Madison. $b Engineering Mechanics. $3 3181618
773 0 $t Dissertation Abstracts International $g 75-02B(E).
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791 $a Ph.D.
792 $a 2013
793 $a English
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