A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery
• The reason for the failure of traditional SVD denoising is investigated. • PMI is proposed to quantity the informativeness of a mechanical signal. • RSVD can extract weak fault feature under large interferences and noise. • The performance is validated by denoising sound and vibration signals....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhao, Ming [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Umfang: |
19 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Species loss from land use of oil palm plantations in Thailand - Jaroenkietkajorn, Ukrit ELSEVIER, 2021, mssp, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:94 ; year:2017 ; day:15 ; month:09 ; pages:129-147 ; extent:19 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ymssp.2017.02.036 |
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| 520 | |a • The reason for the failure of traditional SVD denoising is investigated. • PMI is proposed to quantity the informativeness of a mechanical signal. • RSVD can extract weak fault feature under large interferences and noise. • The performance is validated by denoising sound and vibration signals. | ||
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A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery |
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• The reason for the failure of traditional SVD denoising is investigated. • PMI is proposed to quantity the informativeness of a mechanical signal. • RSVD can extract weak fault feature under large interferences and noise. • The performance is validated by denoising sound and vibration signals. |
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• The reason for the failure of traditional SVD denoising is investigated. • PMI is proposed to quantity the informativeness of a mechanical signal. • RSVD can extract weak fault feature under large interferences and noise. • The performance is validated by denoising sound and vibration signals. |
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• The reason for the failure of traditional SVD denoising is investigated. • PMI is proposed to quantity the informativeness of a mechanical signal. • RSVD can extract weak fault feature under large interferences and noise. • The performance is validated by denoising sound and vibration signals. |
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intensity</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Weak feature enhancement</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Reweighted singular value decomposition</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Signal denoising</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Singular value decomposition</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jia, Xiaodong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Jaroenkietkajorn, Ukrit ELSEVIER</subfield><subfield code="t">Species loss from land use of oil palm plantations in Thailand</subfield><subfield code="d">2021</subfield><subfield code="d">mssp</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV007151810</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:94</subfield><subfield code="g">year:2017</subfield><subfield code="g">day:15</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:129-147</subfield><subfield code="g">extent:19</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ymssp.2017.02.036</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">94</subfield><subfield code="j">2017</subfield><subfield code="b">15</subfield><subfield code="c">0915</subfield><subfield code="h">129-147</subfield><subfield code="g">19</subfield></datafield></record></collection>
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