Norlida, Jamil and Mohd Firdaus, Hassan and Syh Kai, Lim and Ahmad Razlan, Yusoff (2021) Predictive maintenance for rotating machinery by using vibration analysis. Mechanical Engineering and Sciences, 15 (3). pp. 8289-8299. ISSN 2231-8380
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Abstract
This paper presents a complete and well tested virtual instrument (VI) for computer numerical control (CNC) machine predictive maintenance. The national instrument (NI) hardware, LabVIEW software and accelerometer sensor are acquired for the vibration analysis integrated with virtual instrument were developed based on the vibration severity chart threshold in ISO 10816. Validation experiments of the predictive maintenance module were utilized on drilling and milling processes to test and verify the effectiveness of the module. Results obtained from current module can monitor and provide the machine conditions at different condition of good, satisfactory, unsatisfactory, and unacceptable for rotating machinery status according to the vibration severity chart as per ISO 10816.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Virtual instrument; condition monitoring; rotating machinery; predictive maintenance; vibration severity chart. |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Jamil |
| Date Deposited: | 26 May 2025 04:24 |
| Last Modified: | 26 May 2025 04:24 |
| URI: | http://ir.unimas.my/id/eprint/48297 |
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