Output-only modal identification based on hierarchical Hough transform
Sparse component analysis (SCA) has been introduced to the output-only modal identification for several years. This paper proposes a new method based on hierarchical Hough transform to extract the modal parameters of mechanical structures. First, the measured system responses are transformed to Time...
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Published in | Journal of mechanical science and technology Vol. 30; no. 7; pp. 2941 - 2951 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Seoul
Korean Society of Mechanical Engineers
01.07.2016
Springer Nature B.V 대한기계학회 |
Subjects | |
Online Access | Get full text |
ISSN | 1738-494X 1976-3824 |
DOI | 10.1007/s12206-016-0603-x |
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Abstract | Sparse component analysis (SCA) has been introduced to the output-only modal identification for several years. This paper proposes a new method based on hierarchical Hough transform to extract the modal parameters of mechanical structures. First, the measured system responses are transformed to Time-frequency (TF) domain using Short time Fourier transform (STFT) to get a sparse representation. Then, Hough transform is applied to the TF coefficients hierarchically to identify the hyperplanes and the mixing matrix is calculated. Finally, the modal responses are recovered by using
l
1
-optimization and inverse STFT. From the recovered modal responses, natural frequencies and damping ratios are extracted. Numerical simulation of a 4 Degree-of-freedom (DOF) spring-mass system verifies the validity of the method. Free vibration of a steel cantilever beam is captured by a high-speed camera and then analyzed by the proposed method. The comparison of the estimated natural frequencies and damping ratios illustrates the good performance of the proposed algorithm. |
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AbstractList | Sparse component analysis (SCA) has been introduced to the output-only modal identification for several years. This paper proposes a new method based on hierarchical Hough transform to extract the modal parameters of mechanical structures. First, the measured system responses are transformed to Time-frequency (TF) domain using Short time Fourier transform (STFT) to get a sparse representation. Then, Hough transform is applied to the TF coefficients hierarchically to identify the hyperplanes and the mixing matrix is calculated. Finally, the modal responses are recovered by using l1 -optimization and inverse STFT. From the recovered modal responses, natural frequencies and damping ratios are extracted. Numerical simulation of a 4 Degree-of-freedom (DOF) spring-mass system verifies the validity of the method. Free vibration of a steel cantilever beam is captured by a high-speed camera and then analyzed by the proposed method. The comparison of the estimated natural frequencies and damping ratios illustrates the good performance of the proposed algorithm. Sparse component analysis (SCA) has been introduced to the output-only modal identification for several years. This paper proposes a new method based on hierarchical Hough transform to extract the modal parameters of mechanical structures. First, the measured system responses are transformed to Time-frequency (TF) domain using Short time Fourier transform (STFT) to get a sparse representation. Then, Hough transform is applied to the TF coefficients hierarchically to identify the hyperplanes and the mixing matrix is calculated. Finally, the modal responses are recovered by using l 1 -optimization and inverse STFT. From the recovered modal responses, natural frequencies and damping ratios are extracted. Numerical simulation of a 4 Degree-of-freedom (DOF) spring-mass system verifies the validity of the method. Free vibration of a steel cantilever beam is captured by a high-speed camera and then analyzed by the proposed method. The comparison of the estimated natural frequencies and damping ratios illustrates the good performance of the proposed algorithm. Sparse component analysis (SCA) has been introduced to the output-only modal identification for several years. This paper proposes a new method based on hierarchical Hough transform to extract the modal parameters of mechanical structures. First, the measured system responses are transformed to Time-frequency (TF) domain using Short time Fourier transform (STFT) to get a sparse representation. Then, Hough transform is applied to the TF coefficients hierarchically to identify the hyperplanes and the mixing matrix is calculated. Finally, the modal responses are recovered by using l sub(1) -optimization and inverse STFT. From the recovered modal responses, natural frequencies and damping ratios are extracted. Numerical simulation of a 4 Degree-of-freedom (DOF) spring-mass system verifies the validity of the method. Free vibration of a steel cantilever beam is captured by a high-speed camera and then analyzed by the proposed method. The comparison of the estimated natural frequencies and damping ratios illustrates the good performance of the proposed algorithm. Sparse component analysis (SCA) has been introduced to the output-only modal identification for several years. This paper proposes a new method based on hierarchical Hough transform to extract the modal parameters of mechanical structures. First, the measured system responses are transformed to Time-frequency (TF) domain using Short time Fourier transform (STFT) to get a sparse representation. Then, Hough transform is applied to the TF coefficients hierarchically to identify the hyperplanes and the mixing matrix is calculated. Finally, the modal responses are recovered by using l 1 -optimization and inverse STFT. From the recovered modal responses, natural frequencies and damping ratios are extracted. Numerical simulation of a 4 Degree-of-freedom (DOF) spring-mass system verifies the validity of the method. Free vibration of a steel cantilever beam is captured by a high-speed camera and then analyzed by the proposed method. The comparison of the estimated natural frequencies and damping ratios illustrates the good performance of the proposed algorithm. KCI Citation Count: 0 |
Author | Guo, Jie Zhu, Chang’an Qin, Shaoqian Jin, Yi |
Author_xml | – sequence: 1 givenname: Yi surname: Jin fullname: Jin, Yi email: jinyi08@ustc.edu.cn organization: Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China – sequence: 2 givenname: Shaoqian surname: Qin fullname: Qin, Shaoqian organization: Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China – sequence: 3 givenname: Jie surname: Guo fullname: Guo, Jie organization: Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China – sequence: 4 givenname: Chang’an surname: Zhu fullname: Zhu, Chang’an organization: Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China |
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CitedBy_id | crossref_primary_10_1007_s12206_018_0906_1 crossref_primary_10_1016_j_jsv_2017_10_033 crossref_primary_10_1016_j_engstruct_2025_119953 crossref_primary_10_1111_mice_12539 crossref_primary_10_1016_j_measurement_2018_05_002 |
Cites_doi | 10.1002/0470845899 10.1109/TSP.2003.822284 10.1023/A:1008324625522 10.1016/j.sigpro.2008.12.005 10.1109/ICASSP.2005.1416055 10.1007/s11803-009-9120-6 10.1038/381607a0 10.1016/j.ymssp.2005.08.008 10.1016/j.ymssp.2007.05.007 10.1006/mssp.1999.1249 10.1137/S1064827596304010 10.1007/s12206-013-1114-7 10.1109/78.558475 10.1016/j.ymssp.2008.01.010 10.1006/mssp.1999.1247 10.1109/TNN.2005.849840 10.1007/s12206-015-0807-5 10.1162/089976601300014385 10.1016/j.sigpro.2005.05.029 10.1007/s11831-012-9069-x 10.1016/j.ymssp.2013.06.031 10.1016/j.jsv.2013.04.004 10.1109/78.388866 10.1109/TIT.2006.871582 10.1115/1.1410370 10.1137/S003614450037906X 10.1016/0734-189X(86)90073-3 10.1007/s12206-014-0725-y 10.1016/S0165-1684(01)00120-7 10.1007/0-387-29550-X_3 10.1016/j.ymssp.2006.07.009 10.1007/s12206-015-1033-x 10.1088/0964-1726/20/12/125009 10.1016/j.ymssp.2006.12.005 |
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Keywords | Sparse component analysis Blind source separation Hough transform Modal analysis |
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SubjectTerms | Algorithms Cantilever beams Computer simulation Control Damping Degrees of freedom Dynamical Systems Engineering Fourier transforms Free vibration High speed cameras Hough transformation Hough transforms Hyperplanes Industrial and Production Engineering Mathematical analysis Mathematical models Mechanical Engineering Modal identification Resonant frequencies Resonant frequency Vibration 기계공학 |
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Title | Output-only modal identification based on hierarchical Hough transform |
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