Yani, Irsyadi and Resti, Yulia and Burlian, Firmansyah (2022) Plagiarism and Similarity Checker of Identification of bearing failure using signal vibrations. Turnitin Universitas Sriwiajaya. (Submitted)
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Abstract
Vibration analysis can be used to identify damage to mechanical systems such as journal bearings. Identification of failure can be done by observing the resulting vibration spectrum by measuring the vibration signal occurring in a mechanical syst em. Bearing is one of the engine elements commonly used in mechanical systems. The main purpose of this research is to monitor the bearing condition and to identify bearing failure on a mechanical system by observing the resulting vibration. Data collection techniques based on recordings of sound caused by the vibration of the mechanical system were used in this study, then created a database system based bearing failure due to vibration signal recording sounds on a mechanical system. The next step is to group the bearing damage by type based on the databases obtained. The results show the percentage of success in identifying bearing damage is 98 %.
| Item Type: | Other |
|---|---|
| Subjects: | #3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker |
| Divisions: | 03-Faculty of Engineering > 21201-Mechanical Engineering (S1) |
| Depositing User: | Mr. Irsyadi Yani, S.T., M.Eng., Ph.D. |
| Date Deposited: | 30 Mar 2022 22:23 |
| Last Modified: | 30 Mar 2022 22:23 |
| URI: | http://repository.unsri.ac.id/id/eprint/66976 |
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