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