| Project/Area Number |
07455103
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Dynamics/Control
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| Research Institution | Kyoto Institute of Technology |
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Principal Investigator |
YAMAMOTO Shizuo Kyoto Institute of Technology, Faculty of Eng.and Design, Professor, 工芸学部, 教授 (50200803)
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| Co-Investigator(Kenkyū-buntansha) |
ASHINO Ryuichi College of Industrial Technology, Sec.of General Education, Assoc.Professor, 教養部, 助教授 (80249490)
MASUDA Arata Kyoto Institute of Technology, Faculty of Eng.and Design, Assistant, 工芸学部, 教務職員 (90252543)
SONE Akira Kyoto Institute of Technology, Faculty of Eng.and Design, Assoc.Professor, 工芸学部, 助教授 (20197015)
NAKAOKA Akira Kyoto Institute of Technology, Faculty of Eng.and Design, Professor, 工芸学部, 教授 (90027920)
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| Project Period (FY) |
1995 – 1996
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| Project Status |
Completed (Fiscal Year 1996)
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| Budget Amount *help |
¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 1996: ¥1,200,000 (Direct Cost: ¥1,200,000)
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| Keywords | Signal Proceesing / Wavelet Transform / Orthonormal Wavelet / Singularity / Health Monitoring / Sound Field / 音場解析 |
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| Research Abstract |
It is very important to estimate the damage rate of machines under the verious dynamic loading from the point of view of guranteeing their safety and developing the scheme of their maintenance. In this study, the health monitoring system to monitor the damage of machines is investigated to assure the safety of machines. The wavelet transform is applied to the analyzed responses of machines and its feasibility is confirmed. The results obtained from this research are summarizeda as follows. (1) Simultaneous analysis of waves propagating through multilayred media consisting of gas and solid fields is done by using the boundary element method. Through this analysis, the location of abnormal signal for machines is identified by using the wavelet transform of responses. (2) The orthonormal wavelet with large N for Daubechies wavelet can give the good estimation for the occurrence time of abnormal signal under the noisy condition. (3) In case of estimating number entering into plastic region by wavelet analysis, Meyer's wavelets are most reasonable among three types of analyzing wavelets. Moreover, as the change of hysteretic restoring force of system becomes large, number entering into plastic region can be estimated remarkablely.
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