Vibration Mode

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The Experts below are selected from a list of 118029 Experts worldwide ranked by ideXlab platform

Koichiro Tanaka - One of the best experts on this subject based on the ideXlab platform.

David Chelidze - One of the best experts on this subject based on the ideXlab platform.

  • blind source separation based Vibration Mode identification
    Mechanical Systems and Signal Processing, 2007
    Co-Authors: Wenliang Zhou, David Chelidze
    Abstract:

    In this paper, a novel method for linear normal Mode (LNM) identification based on blind source separation (BSS) is introduced. Modal coordinates are considered as a specific case of sources that have certain time structure. This structure makes modal coordinates identifiable by many BSS algorithms. However, algorithms based on second-order statistics are particularly suited for extracting LNMs of a Vibration system. Two well-known BSS algorithms are considered. First, algorithm for multiple unknown signals extraction (AMUSE) is used to illustrate the similarity with Ibrahim time domain (ITD) modal identification method. Second, second order blind identification (SOBI) is used to demonstrate noise robustness of BSS-based Mode shape extraction. Numerical simulations and experimental results from these BSS algorithms and ITD method are presented.

  • smooth orthogonal decomposition based Vibration Mode identification
    Journal of Sound and Vibration, 2006
    Co-Authors: David Chelidze, Wenliang Zhou
    Abstract:

    A new multivariate data analysis method called smooth orthogonal decomposition (SOD) is proposed to extract linear normal Modes and natural frequencies of multi-degree-of-freedom and distributed-parameter Vibration systems. It is demonstrated that for an undamped free Vibration of a multi-degree-of-freedom system, the computed smooth orthogonal Modes are in direct correspondence with the actual normal Vibration Modes and the smooth orthogonal values are related to the corresponding natural frequencies. The same is also shown to be true for lightly damped free Vibrations of both lumped- and distributed-parameter systems. In contrast to the intrinsic limitations of the proper orthogonal decomposition (POD) analysis, which requires the knowledge of system's mass matrix to extract normal Modes and cannot uniquely identify modal subspaces that have similar proper orthogonal values, the SOD is shown to overcome both of these deficiencies. Numerical examples are provided to compare the performances of the POD- and SOD-based modal identification in various types of Vibration environment.

Hiroyuki Yada - One of the best experts on this subject based on the ideXlab platform.

Wenliang Zhou - One of the best experts on this subject based on the ideXlab platform.

  • blind source separation based Vibration Mode identification
    Mechanical Systems and Signal Processing, 2007
    Co-Authors: Wenliang Zhou, David Chelidze
    Abstract:

    In this paper, a novel method for linear normal Mode (LNM) identification based on blind source separation (BSS) is introduced. Modal coordinates are considered as a specific case of sources that have certain time structure. This structure makes modal coordinates identifiable by many BSS algorithms. However, algorithms based on second-order statistics are particularly suited for extracting LNMs of a Vibration system. Two well-known BSS algorithms are considered. First, algorithm for multiple unknown signals extraction (AMUSE) is used to illustrate the similarity with Ibrahim time domain (ITD) modal identification method. Second, second order blind identification (SOBI) is used to demonstrate noise robustness of BSS-based Mode shape extraction. Numerical simulations and experimental results from these BSS algorithms and ITD method are presented.

  • smooth orthogonal decomposition based Vibration Mode identification
    Journal of Sound and Vibration, 2006
    Co-Authors: David Chelidze, Wenliang Zhou
    Abstract:

    A new multivariate data analysis method called smooth orthogonal decomposition (SOD) is proposed to extract linear normal Modes and natural frequencies of multi-degree-of-freedom and distributed-parameter Vibration systems. It is demonstrated that for an undamped free Vibration of a multi-degree-of-freedom system, the computed smooth orthogonal Modes are in direct correspondence with the actual normal Vibration Modes and the smooth orthogonal values are related to the corresponding natural frequencies. The same is also shown to be true for lightly damped free Vibrations of both lumped- and distributed-parameter systems. In contrast to the intrinsic limitations of the proper orthogonal decomposition (POD) analysis, which requires the knowledge of system's mass matrix to extract normal Modes and cannot uniquely identify modal subspaces that have similar proper orthogonal values, the SOD is shown to overcome both of these deficiencies. Numerical examples are provided to compare the performances of the POD- and SOD-based modal identification in various types of Vibration environment.

Masaya Nagai - One of the best experts on this subject based on the ideXlab platform.