A Correction for the Paper "Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis"
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866918132468154368 |
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| author | Zhang, Hong-Yan Liu, Haoting Lin, Rui-Jia Zhou, Yu |
| author_facet | Zhang, Hong-Yan Liu, Haoting Lin, Rui-Jia Zhou, Yu |
| contents | The symplectic geometry mode decomposition (SGMD) is a powerful method for decomposing time series, which is based on the diagonal averaging principle (DAP) inherited from the singular spectrum analysis (SSA). Although the authors of SGMD method generalized the form of the trajectory matrix in SSA, the DAP is not updated simultaneously. In this work, we pointed out the limitations of the SGMD method and fixed the bugs with the pulling back theorem for computing the given component of time series from the corresponding component of trajectory matrix. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_20990 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Correction for the Paper "Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis" Zhang, Hong-Yan Liu, Haoting Lin, Rui-Jia Zhou, Yu Signal Processing The symplectic geometry mode decomposition (SGMD) is a powerful method for decomposing time series, which is based on the diagonal averaging principle (DAP) inherited from the singular spectrum analysis (SSA). Although the authors of SGMD method generalized the form of the trajectory matrix in SSA, the DAP is not updated simultaneously. In this work, we pointed out the limitations of the SGMD method and fixed the bugs with the pulling back theorem for computing the given component of time series from the corresponding component of trajectory matrix. |
| title | A Correction for the Paper "Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis" |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2508.20990 |