Predictive maintenance for rotating machinery by using vibration analysis

Authors

  • N. Jamil Department of Industrial Engineering, College of Engineering, Universiti Malaysia Pahang, 26300 Gambang Kuantan, Pahang, Malaysia. Phone: +6095492688
  • M.F. Hassan Department of Mechanical Engineering, College of Engineering, Universiti Malaysia Pahang, 26300 Gambang Kuantan, Pahang, Malaysia
  • S.K. Lim Department of Industrial Engineering, College of Engineering, Universiti Malaysia Pahang, 26300 Gambang Kuantan, Pahang, Malaysia. Phone: +6095492688
  • A.R. Yusoff Department of Industrial Engineering, College of Engineering, Universiti Malaysia Pahang, 26300 Gambang Kuantan, Pahang, Malaysia. Phone: +6095492688

DOI:

https://doi.org/10.15282/jmes.15.3.2021.07.0651

Keywords:

Virtual instrument, condition monitoring, rotating machinery, predictive maintenance, vibration severity chart

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.

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Published

2021-09-19 — Updated on 2021-09-19

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How to Cite

Jamil, N., Hassan, M., Lim, S., & Yusoff, A. (2021). Predictive maintenance for rotating machinery by using vibration analysis. Journal of Mechanical Engineering and Sciences, 15(3), 8289–8299. https://doi.org/10.15282/jmes.15.3.2021.07.0651