Slew Bearings Damage Detection using Hilbert Huang Transformation and Acoustic Methods
Slow speed slew bearings are widely used in many applications such us radar, aviation and aerospace units, bogie bearings for vehicles, harbor and shipyard cranes. Slew bearings are design to carry out high axial and radial loads, they have high titling rigidity and they lubricated with grease. Slew...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Kragujevac
2015-06-01
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| Series: | Tribology in Industry |
| Subjects: | |
| Online Access: | http://www.tribology.fink.rs/journals/2015/2015-2/5.pdf |
| _version_ | 1818650395113684992 |
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| author | P. Nikolakopoulos A. Zavos |
| author_facet | P. Nikolakopoulos A. Zavos |
| author_sort | P. Nikolakopoulos |
| collection | DOAJ |
| description | Slow speed slew bearings are widely used in many applications such us radar, aviation and aerospace units, bogie bearings for vehicles, harbor and shipyard cranes. Slew bearings are design to carry out high axial and radial loads, they have high titling rigidity and they lubricated with grease. Slew bearings consist of the rollers, the inner and the outer ring and the gear in general. One of the most common problems arising in such equipments is the vibration levels due to wear of either regarding the rollers or the other components. Actually, it is very critical for his safe operation and reliability to know from where the vibrations come from, and how much severe are. In this article, the acoustic emission method is used in order to excite slew bearings either for laboratory tests or real naval application receiving the sound waves in the time domain. The Hilbert Huang Transformation (HHT) with the empirical mode decomposition (EMD) is used in order to detect the possible defect and to estimate the healthy state from the measured sound signals of the bearing, through to investigation of the statistical index kurtosis. |
| first_indexed | 2024-12-17T01:49:32Z |
| format | Article |
| id | doaj.art-989462fb1ad445d7b505ba629cf47b0c |
| institution | Directory Open Access Journal |
| issn | 0354-8996 2217-7965 |
| language | English |
| last_indexed | 2024-12-17T01:49:32Z |
| publishDate | 2015-06-01 |
| publisher | University of Kragujevac |
| record_format | Article |
| series | Tribology in Industry |
| spelling | doaj.art-989462fb1ad445d7b505ba629cf47b0c2022-12-21T22:08:06ZengUniversity of KragujevacTribology in Industry0354-89962217-79652015-06-01372170175Slew Bearings Damage Detection using Hilbert Huang Transformation and Acoustic MethodsP. Nikolakopoulos0A. Zavos1University of Patras/Department of Mechanical and Aeronautics Engineering/Machine Design Laboratory, GreeceUniversity of Patras/Department of Mechanical and Aeronautics Engineering/Machine Design Laboratory, GreeceSlow speed slew bearings are widely used in many applications such us radar, aviation and aerospace units, bogie bearings for vehicles, harbor and shipyard cranes. Slew bearings are design to carry out high axial and radial loads, they have high titling rigidity and they lubricated with grease. Slew bearings consist of the rollers, the inner and the outer ring and the gear in general. One of the most common problems arising in such equipments is the vibration levels due to wear of either regarding the rollers or the other components. Actually, it is very critical for his safe operation and reliability to know from where the vibrations come from, and how much severe are. In this article, the acoustic emission method is used in order to excite slew bearings either for laboratory tests or real naval application receiving the sound waves in the time domain. The Hilbert Huang Transformation (HHT) with the empirical mode decomposition (EMD) is used in order to detect the possible defect and to estimate the healthy state from the measured sound signals of the bearing, through to investigation of the statistical index kurtosis.http://www.tribology.fink.rs/journals/2015/2015-2/5.pdfSlew bearingsHilbert Huang Transform Acoustic emissionsFault detectionKurtosis factor |
| spellingShingle | P. Nikolakopoulos A. Zavos Slew Bearings Damage Detection using Hilbert Huang Transformation and Acoustic Methods Tribology in Industry Slew bearings Hilbert Huang Transform Acoustic emissions Fault detection Kurtosis factor |
| title | Slew Bearings Damage Detection using Hilbert Huang Transformation and Acoustic Methods |
| title_full | Slew Bearings Damage Detection using Hilbert Huang Transformation and Acoustic Methods |
| title_fullStr | Slew Bearings Damage Detection using Hilbert Huang Transformation and Acoustic Methods |
| title_full_unstemmed | Slew Bearings Damage Detection using Hilbert Huang Transformation and Acoustic Methods |
| title_short | Slew Bearings Damage Detection using Hilbert Huang Transformation and Acoustic Methods |
| title_sort | slew bearings damage detection using hilbert huang transformation and acoustic methods |
| topic | Slew bearings Hilbert Huang Transform Acoustic emissions Fault detection Kurtosis factor |
| url | http://www.tribology.fink.rs/journals/2015/2015-2/5.pdf |
| work_keys_str_mv | AT pnikolakopoulos slewbearingsdamagedetectionusinghilberthuangtransformationandacousticmethods AT azavos slewbearingsdamagedetectionusinghilberthuangtransformationandacousticmethods |