Preventive maintenance of taper bearing using Arduino in the application of industry 4.0

https://doi.org/10.21744/irjeis.v6n4.953

Authors

  • Subekti Subekti Mechanical Engineering Vibration Laboratory, Universitas Mercu Buana, Indonesia
  • Hadi Pranoto Mechanical Engineering Vibration Laboratory, Universitas Mercu Buana, Indonesia
  • Beni Rukasah Salmon SMK Negeri 1 Majalaya, JL. H. Idris NO 99 Majalaya Bandung, Jawa Barat, Indonesia
  • Setyo Qomarudin Yusuf Mechanical Engineering Vibration Laboratory, Universitas Mercu Buana, Indonesia
  • Suyadiyanto Suyadiyanto Mechanical Engineering Vibration Laboratory, Universitas Mercu Buana, Indonesia
  • Ari Slamet Ariyadi Mechanical Engineering Vibration Laboratory, Universitas Mercu Buana, Indonesia
  • Abdul Hamid Mechanical Engineering Vibration Laboratory, Universitas Mercu Buana, Indonesia

Keywords:

Arduino, Internet of Things, Labview, predictive maintenance, taper bearing

Abstract

The maintenance of industrial tools is very important to support production. Therefore, many companies apply preventive maintenance. A national industrialization agenda discussed that it is crucial especially in the manufacturing industry. The battery-powered IoT sensing device is capable of thorough monitoring of industrial machinery enabling the development of sophisticated predictive maintenance applications under set scenarios. In this paper, we applied the concept of the Internet of Thing (IoT) system using LabVIEW via Arduino. The research method used in this study was similar to Susanto et al. (2019) namely Frequency Response Function (FRF) test to investigate the dynamic characteristics of a mechanic structure to identifying damages on X, Y, and Z axes of tapered bearing using harmonic vibration from handphones. Results of FRF and Labview via Ardunio were then compared to identify the results of measurement using LabView via Arduino. It was found much noise in the measurement occupying Labview Via Ardunio because its system does not use a filter like the one in FFT Analyser. However, in general, LabVIEW via Ardunia can predict damages in taper bearing. It is because, under broken condition, there was a two-time movement of natural frequencies from good condition.

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Published

2020-07-08

How to Cite

Subekti, S., Pranoto, H., Salmon, B. R., Yusuf, S. Q., Suyadiyanto, S., Ariyadi, A. S., & Hamid, A. (2020). Preventive maintenance of taper bearing using Arduino in the application of industry 4.0. International Research Journal of Engineering, IT & Scientific Research, 6(4), 1–14. https://doi.org/10.21744/irjeis.v6n4.953

Issue

Vol. 6 No. 4: July 2020

Section

Research Articles
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