Enhancement of the TFS Method by Removing Bias Errors in FRF
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概要
- 論文の詳細を見る
The frequency response function (FRF) obtained by Fourier transformation inevitably includes bias errors if data acquisition time is not long so that the signal decays fully. These errors are sensitive to the phase rather than the magnitude of FRF. And these errors will be amplified through transfer function synthesis (TFS) process since the operation of complex variables is used. In this paper, a method to remove these errors is proposed so as to enhance the results of TFS. Finally, numerical and experimental examples show that the FRF of synthesized structure can be predicted nearly exactly by the method proposed in this paper, even though the FRFs of substructures contain bias errors.
- 一般社団法人日本機械学会の論文
- 2005-03-15
著者
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KIM Seung
Department of Alternative Medicine, Gwangju University
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Jeong Weui
Department Of Mechanical Engineering Pusan National University
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Yoo Wan
Department Of Mechanical Engineering Pusan National University
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Ahn Se
Department Of Mechanical Engineering Pusan National University
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Jeong Weui
Tokyo Institute Of Technology
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AHN Se
Human Factors Research Unit, Institute of Sound and Vibration Research, University of Southampton
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JEONG Ho
Structures & Materials Department, KSLV Technology Division, Korea Aerospace Research Institute
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Kim Seung
Department Of Alternative Medicine Gwangju University
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Kim Seung
Department Of Mechanical Engineering Pusan National University
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Jeong Ho
Structures & Materials Department Kslv Technology Division Korea Aerospace Research Institute
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KIM Seung
Department of Allergy and Clinical Immunology, Ajou University School of Medicine
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