N., Jamil and M. F., Hassan and S. K., Lim and A. R., Yusoff (2021) Predictive maintenance for rotating machinery by using vibration analysis. Journal of Mechanical Engineering and Sciences (JMES), 15 (3). 8289 -8299. ISSN 2231-8380 (online). (Published)
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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 |
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| Additional Information: | Indexed by SCOPUS and MY CITE |
| Uncontrolled Keywords: | Virtual instrument; Condition monitoring; Rotating machinery; Predictive maintenance; Vibration severity chart |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Faculty/Division: | Institute of Postgraduate Studies College of Engineering Faculty of Manufacturing and Mechatronic Engineering Technology Faculty of Mechanical and Automotive Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 29 Dec 2021 02:18 |
| Last Modified: | 23 Feb 2023 08:03 |
| URI: | http://umpir.ump.edu.my/id/eprint/32716 |
| Download Statistic: | View Download Statistics |
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