Implementasi Sistem Iot untuk Monitoring dan Deteksi Dini Kerusakan Bearing Motor Induksi
DOI:
https://doi.org/10.51903/elkom.v19i1.3762Keywords:
ADXL345; Blynk; DS18B20; Induction Motor Bearing; Internet of ThingsAbstract
Induction motors are essential components in industrial systems, where bearing failures can cause increased vibration, overheating, reduced performance, and unexpected production downtime. Conventional monitoring methods are generally manual and periodic, limiting the ability to detect early signs of failure in real time. This study aims to develop an Internet of Things (IoT)-based monitoring and early fault detection system for induction motor bearings using a DS18B20 temperature sensor, ADXL345 vibration sensor, ESP32 microcontroller, Blynk cloud platform, and a risk score decision method. The research employed a Research and Development (R&D) approach with a prototyping model to design and evaluate the proposed system. Experimental results showed that the DS18B20 sensor was able to detect temperature changes properly, while the ADXL345 sensor successfully measured vibration changes with readings relatively close to reference instruments. The Blynk platform successfully displayed temperature and vibration monitoring data in real time, although minor delays were observed due to network conditions. System testing under four simulated operating conditions confirmed that the risk score method successfully classified motor conditions into normal, warning, danger, and shutdown categories according to predefined thresholds. The developed system demonstrates the potential to support continuous monitoring and early fault detection of induction motor bearings, contributing to more effective preventive maintenance in industrial applications
References
[1] S. Ahmetoglu, Z. C. Cob, and N. Ali, “A systematic review of Internet of Things adoption in organizations: Taxonomy, benefits, challenges, and critical factors,” Applied Sciences, vol. 12, no. 9, p. 4117, 2022, doi: 10.3390/app12094117.
[2] A. Alsaedi, N. Moustafa, Z. Tari, A. Mahmood, and A. Anwar, “TON_IoT telemetry dataset: A new generation dataset of IoT and IIoT for data-driven intrusion detection systems,” IEEE Access, vol. 8, pp. 165130–165150, 2020, doi: 10.1109/ACCESS.2020.3022862.
[3] Analog Devices Inc., “ADXL345: 3-axis, ±2 g/±4 g/±8 g/±16 g digital accelerometer datasheet,” Analog Devices, 2010.
[4] M. Z. Bisri and I. Anzhory, “Alat monitoring getaran motor listrik induksi 1 phase berbasis Internet of Things (IoT),” Innovative: Jurnal Ilmiah Inovasi Teknologi, vol. 3, no. 2, pp. 33–41, 2024.
[5] Blynk, “Platform HTTPS API documentation,” [Online]. Available: https://docs.blynk.io/en/blynk.cloud/platform-https-api
[6] M. P. Darmawan and N. S. Soedjarwanto, “Analisis pengaruh bearing motor listrik terhadap perubahan suhu dan getaran,” Jurnal Teknologi Elektro, vol. 10, no. 2, 2023.
[7] Y. Efendi, “Internet of Things (IoT) sistem pengendalian lampu menggunakan Raspberry Pi berbasis mobile,” Jurnal Ilmiah Ilmu Komputer, vol. 4, no. 2, 2018.
[8] N. Evalina, A. Susilo, and R. Amiruddin, “Perancangan sistem monitoring suhu dan getaran pada bearing motor induksi berbasis HMI,” Jurnal RELE (Riset Elektro dan Energi), vol. 1, no. 2, pp. 45–54, 2024.
[9] M. S. Gitakarma, T. K. Priyambodo, Y. Suyanto, and R. Sumiharto, “Architectures, frameworks, and applications in IoT-based smart environment: A review,” Journal of Physics: Conference Series, vol. 1810, no. 1, 2021, doi: 10.1088/1742-6596/1810/1/012020.
[10] M. Hasanuddin and Herdianto, “Sistem monitoring dan deteksi dini pencemaran udara berbasis Internet of Things (IoT),” JOSYC, vol. 4, no. 4, 2023.
[11] International Organization for Standardization, “ISO 10816-3: Mechanical vibration—Evaluation of machine vibration by measurements on non-rotating parts,” 2009.
[12] F. Lubis, R. Pane, S. Lubis, M. A. Siregar, and B. S. Kusuma, “Analisa kekuatan bearing pada prototype belt conveyor,” Journal MESIL, vol. 2, no. 2, 2021.
[13] Maxim Integrated, “DS18B20 programmable resolution 1-wire digital thermometer datasheet,” Maxim Integrated, 2008.
[14] R. K. Mobley, An Introduction to Predictive Maintenance, 2nd ed. Butterworth-Heinemann, 2002.
[15] A. Rachman, F. Rahman, and D. Pratama, “Analisa getaran pada bearing berbasis kerusakan bearing,” Universitas Ibn Khaldun Bogor, 2018.
[16] M. Ridwan and K. M. Sari, “Penerapan IoT dalam sistem otomatisasi kontrol suhu, kelembapan, dan tingkat keasaman hidroponik,” Jurnal Teknik Pertanian Lampung, vol. 10, no. 4, 2021.
[17] M. Riva’i and N. Pranandita, “Analisa getaran akibat kerusakan deep groove ball bearing seri 6003RS,” Manutech, vol. 9, no. 2, 2019.
[18] D. K. Riyanto, P. Asri, and A. T. Nugraha, “Monitoring akselerasi getaran dan suhu motor induksi berbasis Arduino dan komunikasi nirkabel,” Elektriese, vol. 11, no. 1, 2022.
[19] A. Rohman and S. Wibowo, “Implementasi Internet of Things untuk pemantauan suhu mesin produksi berbasis NodeMCU dan Blynk,” Jurnal Teknologi dan Sistem Komputer, vol. 9, no. 4, pp. 291–298, 2021.
[20] A. Sadikin and S. P., “Pengenalan Internet of Things (IoT) dan implementasinya pada sistem pemantauan berbasis web,” Jurnal Teknologi Informasi dan Komunikasi, vol. 9, no. 1, 2018.
[21] S. Tripathi and L. Pandit, “Analysis of factors influencing adoption of Internet of Things: A system dynamics approach,” Theoretical Economics Letters, vol. 9, no. 4, pp. 947–966, 2019, doi: 10.4236/tel.2019.94061.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Elkom: Jurnal Elektronika dan Komputer
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
