A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound Signals Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3390/app13137468
The “weak” friction-induced vibration can help to monitor the change in friction and wear state of friction pairs and detect the failure of surface damage. However, they are typically submerged in complex interference components during friction. Therefore, detecting accurate “weak” friction-induced vibration is key to using it entirely. A method based on the correlation between friction-induced vibration and sound signals was proposed to achieve this goal. The ball–disk wear experiments were conducted under oil lubrication using a wear tester. Vibration and sound pressure signals generated during the experiments were recorded. By the spectrum analysis of the cross-correlation function calculated from the two types of signals, the “weak” FIV components submerged in the original signals were detected. The experimental results showed that the root mean square change of the “weak” friction-induced vibration detected in the vibration and sound pressure signals was highly consistent with the friction coefficient change. It could effectively characterize the transition of the wear stage from running-in to stable wear of the friction pairs. Therefore, the cross-correlation analysis of vibration and sound signals could be a reliable tool for detecting the “weak” friction-induced vibration.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app13137468
- https://www.mdpi.com/2076-3417/13/13/7468/pdf?version=1687843979
- OA Status
- gold
- Cited By
- 8
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382135748
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4382135748Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/app13137468Digital Object Identifier
- Title
-
A Detecting Method for “Weak” Friction-Induced Vibration Based on Cross-Correlation Analysis between Vibration and Sound SignalsWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-24Full publication date if available
- Authors
-
Pengfei Xing, Yanchao Zhu, Guobin Li, Ting Liu, Honglin Gao, Yuchao Song, Hongpeng ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/app13137468Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3417/13/13/7468/pdf?version=1687843979Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2076-3417/13/13/7468/pdf?version=1687843979Direct OA link when available
- Concepts
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Vibration, Acoustics, Lubrication, Materials science, Structural engineering, Physics, Engineering, Composite materialTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 5Per-year citation counts (last 5 years)
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Applied Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.3390/app13137468 |
| primary_location.id | doi:10.3390/app13137468 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210205812 |
| primary_location.source.issn | 2076-3417 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2076-3417 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Applied Sciences |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2076-3417/13/13/7468/pdf?version=1687843979 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Applied Sciences |
| primary_location.landing_page_url | https://doi.org/10.3390/app13137468 |
| publication_date | 2023-06-24 |
| publication_year | 2023 |
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| abstract_inverted_index.It | 147 |
| abstract_inverted_index.be | 176 |
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| abstract_inverted_index.it | 46 |
| abstract_inverted_index.of | 15, 22, 94, 103, 126, 153, 162, 170 |
| abstract_inverted_index.on | 51 |
| abstract_inverted_index.to | 6, 44, 62, 159 |
| abstract_inverted_index.FIV | 107 |
| abstract_inverted_index.The | 0, 66, 116 |
| abstract_inverted_index.and | 12, 18, 57, 80, 135, 172 |
| abstract_inverted_index.are | 27 |
| abstract_inverted_index.can | 4 |
| abstract_inverted_index.for | 180 |
| abstract_inverted_index.key | 43 |
| abstract_inverted_index.oil | 73 |
| abstract_inverted_index.the | 8, 20, 52, 86, 91, 95, 100, 105, 111, 121, 127, 133, 143, 151, 154, 163, 167, 182 |
| abstract_inverted_index.two | 101 |
| abstract_inverted_index.was | 60, 139 |
| abstract_inverted_index.from | 99, 157 |
| abstract_inverted_index.help | 5 |
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| abstract_inverted_index.root | 122 |
| abstract_inverted_index.that | 120 |
| abstract_inverted_index.they | 26 |
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| abstract_inverted_index.based | 50 |
| abstract_inverted_index.could | 148, 175 |
| abstract_inverted_index.goal. | 65 |
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| abstract_inverted_index.sound | 58, 81, 136, 173 |
| abstract_inverted_index.stage | 156 |
| abstract_inverted_index.state | 14 |
| abstract_inverted_index.types | 102 |
| abstract_inverted_index.under | 72 |
| abstract_inverted_index.using | 45, 75 |
| abstract_inverted_index.change | 9, 125 |
| abstract_inverted_index.detect | 19 |
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| abstract_inverted_index.highly | 140 |
| abstract_inverted_index.method | 49 |
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| abstract_inverted_index.showed | 119 |
| abstract_inverted_index.square | 124 |
| abstract_inverted_index.stable | 160 |
| abstract_inverted_index.achieve | 63 |
| abstract_inverted_index.between | 54 |
| abstract_inverted_index.change. | 146 |
| abstract_inverted_index.complex | 31 |
| abstract_inverted_index.damage. | 24 |
| abstract_inverted_index.failure | 21 |
| abstract_inverted_index.monitor | 7 |
| abstract_inverted_index.results | 118 |
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| abstract_inverted_index.spectrum | 92 |
| abstract_inverted_index.Vibration | 79 |
| abstract_inverted_index.conducted | 71 |
| abstract_inverted_index.detected. | 115 |
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| abstract_inverted_index.components | 33, 108 |
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| abstract_inverted_index.ball–disk | 67 |
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| abstract_inverted_index.lubrication | 74 |
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| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5025434335, https://openalex.org/A5100418163 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I43313876, https://openalex.org/I61565387 |
| citation_normalized_percentile.value | 0.7596089 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |