DESIGN OF INTERNET OF THINGS (IOT) BASED BEARING MONITORING TOOL

Authors

  • Yudi Siswanto D3 Teknik Perawatan Mesin, Politeknik Industri Logam Morowali
  • Agus Salim Opu D3 Teknik Perawatan Mesin, Politeknik Industri Logam Morowali
  • Ika Nurjannah S1 Teknik Mesin, Universitas Negeri Surabaya
  • Henly Pakiding D3 Teknik Perawatan Mesin, Politeknik Industri Logam Morowali

DOI:

https://doi.org/10.26740/otopro.v21n1.p13-21

Keywords:

Bearing, IoT, ThingSpeak, Vibration, Temperature

Abstract

Bearing failure is one of the main causes of operational disruptions in mechanical systems due to the lack of continuous condition monitoring. Early detection of vibration and temperature increases is essential to prevent downtime and reduce maintenance costs. This study aims to design and develop a bearing condition monitoring prototype based on the Internet of Things (IoT) using the Research and Development (R&D) approach. The system employs an Arduino Uno and NodeMCU ESP8266 as the main controllers, a piezoelectric sensor to detect vibration, and an MLX90614 infrared sensor to measure the bearing surface temperature. The measured data are transmitted in real time to the ThingSpeak platform for remote visualization and analysis. Experimental testing over three hours showed an average vibration of 7.25 Hz and an average temperature of 35.87 °C, where the condition indicators on the LED and LCD operated according to the predefined thresholds. The system successfully provided early warnings of potential bearing failure through continuous parameter monitoring. The novelty of this research lies in the integration of low-cost multi-sensor technology with the ThingSpeak platform for real-time, end-to-end bearing condition monitoring, supporting the concept of predictive maintenance.

References

A. S. R. &. N. D. Lubis, “Analisis Kerusakan Bearing pada Sistem Rotasi Mesin Industri. Jurnal Teknologi dan Sistem Mesin,” 2021.

X. C. Z. W. L. &. Y. J. Xu, “Vibration-based fault diagnosis of bearings using deep convolutional neural networks,” 2021.

H. S. I. &. W. R. Pramono, “Analisis Getaran pada Bearing Menggunakan Fast Fourier Transform untuk Deteksi Dini Kerusakan.,” 2021.

S. &. L. J. Kim, “Bearing fault diagnosis based on deep learning vibration analysis. Mechanical Systems and Signal Processing,,” 2023.

Z. B. Y. X. Y. Z. H. &. W. L. Peng, “ntelligent fault diagnosis of rolling bearings using adaptive signal processing and CNN.,” 2022.

M. &. G. K. Mauritius, “A review on bearing fault diagnosis and prognosis using machine learning techniques. Mechanical Systems and Signal Processing,,” 2019.

A. L. X. W. J. P. N. &. W. S. Norman, “Intelligent sensor-based condition monitoring for industrial bearings,” 2024.

M. W. D. &. L. X. Safian, “Advanced sensor integration for smart maintenance of rotating machinery.,” 2024.

L. C. Y. Z. P. &. Z. W. Wan, “oT-based predictive maintenance system for industrial bearings using multi-sensor fusion.,” 2023.

N. Mehta, “Internet of Things: Concepts and Applications. International Journal of Computer Applications,,” 2015.

T. H. L. &. G. Y. Qiu, “An IoT-based real-time monitoring system for mechanical equipment using wireless sensors.,” 2023.

D. B. A. &. B. R. Karia, “IoT based machine monitoring and preventive maintenance,” 2018.

A. Wahab, “Monitoring Sistem Bantalan Menggunakan Sensor Getaran dan Suhu Berbasis Arduino Uno,” 2016.

P. Sukumar, “Condition monitoring of bearing using vibration sensor,” 2022.

D. Nusantara, “Penelitian Dan Pengembangan (R&D) Penelitian Yang Inovatif Dalam Pendidikan,” 2023.

M. R. a. N. Pranandita, “Ball bearing damage analysis based on vibration signals”.

M. N. a. T. R. Muzawi, “Monitoring system for concrete raw material availability using market basket analysis method,,” 2019.

A. M. S. R. S. H. M. J. a. I. A. I. Rafiq, “Applications and challenges of IoT in smart cities and services,,” 2023.

B. Siever and M. P. Rogers, “oTa of IoT,” in Proc. ACM SIGCSE Technical Symposium on Computer Science Education,” 2017.

C. F. J. M. a. G. M. A. Iera, “Internet of Things [Guest Editorial],,” 2010.

A. I. A. G. E. A.-E. a. M. Z. M. Hussein, “Internet of Things (IoT) platform for multi-topic message delivery,” 2020.

A. N. e. al, “Development of an API for data logger visualization of Amikom Purwokerto hand sanitizer (AMPUH),”,” 2022.

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Published

2025-11-17

How to Cite

Siswanto, Y., Opu, A. S., Nurjannah, I., & Pakiding, H. (2025). DESIGN OF INTERNET OF THINGS (IOT) BASED BEARING MONITORING TOOL. Otopro, 21(1), 13–21. https://doi.org/10.26740/otopro.v21n1.p13-21

Issue

Vol 21 No 1 Nov 2025

Section

Articles

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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