Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition
Vehicle platform vibration (VPV) directly affects the measurement accuracy of precise measuring instrument (PMI) fixed on it. In order to reduce the influences of VPV on measurement accuracy, it is necessary to perform vibration isolation between vehicle platform and PMI. Analysis of vibration chara...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/8894959 |
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| _version_ | 1832558884081893376 |
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| author | Chengwu Shen Zhiqian Wang Chang Liu Qinwen Li Jianrong Li Shaojin Liu |
| author_facet | Chengwu Shen Zhiqian Wang Chang Liu Qinwen Li Jianrong Li Shaojin Liu |
| author_sort | Chengwu Shen |
| collection | DOAJ |
| description | Vehicle platform vibration (VPV) directly affects the measurement accuracy of precise measuring instrument (PMI) fixed on it. In order to reduce the influences of VPV on measurement accuracy, it is necessary to perform vibration isolation between vehicle platform and PMI. Analysis of vibration characteristics is a prerequisite for vibration isolation. However, empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) reveal that there is obvious mode mixing phenomenon in the collected VPV signals. In this paper, a noise stretch ensemble empirical mode decomposition (NSEEMD) method is proposed to suppress mode mixing, and the specific operation process of NSEEMD is expounded. By NSEEMD, mode mixing of the collected platform vibration data is well suppressed, and the principal component of platform vibration can be obtained. |
| format | Article |
| id | doaj-art-ab3f1654cc0f4329aff47ae548089ddb |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-ab3f1654cc0f4329aff47ae548089ddb2025-02-03T01:31:22ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/88949598894959Analysis of Vehicle Platform Vibration Based on Empirical Mode DecompositionChengwu Shen0Zhiqian Wang1Chang Liu2Qinwen Li3Jianrong Li4Shaojin Liu5Changchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Jilin, Changchun, ChinaChangchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Jilin, Changchun, ChinaChangchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Jilin, Changchun, ChinaChangchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Jilin, Changchun, ChinaChangchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Jilin, Changchun, ChinaChangchun Institute of Optics Fine Mechanics and Physics, Chinese Academy of Sciences, Jilin, Changchun, ChinaVehicle platform vibration (VPV) directly affects the measurement accuracy of precise measuring instrument (PMI) fixed on it. In order to reduce the influences of VPV on measurement accuracy, it is necessary to perform vibration isolation between vehicle platform and PMI. Analysis of vibration characteristics is a prerequisite for vibration isolation. However, empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) reveal that there is obvious mode mixing phenomenon in the collected VPV signals. In this paper, a noise stretch ensemble empirical mode decomposition (NSEEMD) method is proposed to suppress mode mixing, and the specific operation process of NSEEMD is expounded. By NSEEMD, mode mixing of the collected platform vibration data is well suppressed, and the principal component of platform vibration can be obtained.http://dx.doi.org/10.1155/2021/8894959 |
| spellingShingle | Chengwu Shen Zhiqian Wang Chang Liu Qinwen Li Jianrong Li Shaojin Liu Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition Shock and Vibration |
| title | Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition |
| title_full | Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition |
| title_fullStr | Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition |
| title_full_unstemmed | Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition |
| title_short | Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition |
| title_sort | analysis of vehicle platform vibration based on empirical mode decomposition |
| url | http://dx.doi.org/10.1155/2021/8894959 |
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