DEVELOPMENT OF EARLY WARNING SYSTEM FOR 3-PHASE ELECTRIC MOTOR MALFUNCTION DETECTION BASED ON LORA

Authors

  • Abdul Muis Mappalotteng Universitas Negeri Makassar
  • Muhammad Yusuf Mappeasse Universitas Negeri Makassar
  • Muhammad Irfan Universitas Negeri Makassar
  • Dewi Triantini Universitas Negeri Makassar

DOI:

https://doi.org/10.59562/metrik.v22i1.6195

Keywords:

Early Warning System, LoRa, 3 Phase Electric Motor

Abstract

This study aimed to develop an early warning system for detecting malfunctions in three-phase electric motors using a LoRa-based microcontroller. Three-phase electric motors are vital components in industry, and their failure can cause significant downtime and financial losses. This system was designed to improve operational reliability and efficiency through remote monitoring and early detection of potential failures. Various sensors, including current, voltage, temperature, and RPM sensors, was installed on the motor to monitor its operational conditions. The collected data was sent via the LoRa network to the processing unit for further analysis and early warning. The study used Research and Development (R&D) approach with a prototyping development model, which included gathering requirements, designing, prototyping, and evaluating the system. Each stage was designed to ensure that the developed system can meet the expected operational and functional needs. It is expected that this system can prevent greater damage, reduce maintenance costs, and increase overall industrial productivity.

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References

ABB Motion, “The Vital Role of High-Efficiency Motors and Drives in Reducing Energy Consumption,” 2021.

D. F. de Carvalho and C. C. Miers, “Process Automation and Monitoring Systems Based on IoT Using Private LoRaWAN Networks: A Case Study of ArcelorMittal Vega Facilities,” in International Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings, Science and Technology Publications, Lda, 2023, pp. 243–254. doi: 10.5220/0012039300003482.

Y. A. K. Utama, “Perbandingan Kualitas Antar Sensor Suhu dengan Menggunakan Arduino Pro Mini,” Jurnal NARODROID, vol. 2, no. 2, pp. 145–150, 2016.

Farid and N. S. Salahuddin, “Sistem Pantau dan Kendali Peralatan Listrik Rumah Berbasis Internet of Things (IoT),” G-Tech: Jurnal Teknologi Terapan, vol. 8, no. 2, pp. 1079–1090, Apr. 2024, doi: 10.33379/gtech.v8i2.4089.

A. M. Boynawan, Ratnaningsih, Y. I. Pawestri, B. Githanadi, R. Aryunadi, and M. R. Indra, Panduan Kalibrasi Tachometer Non-Kontak (Optik). Direktorat Standar Nasional Satuan Ukuran Termoelektrik dan Kimia Badan Standardisasi Nasional, 2023.

R. N. H. Arif, “Kajian Literatur: Identifikasi Soal Pemahaman Konsep Fisika pada Materi Ajar Listrik Dinamis,” BIOCHEPHY: Journal of Science Education, vol. 4, no. 2, pp. 880–889, 2024, doi: 10.52562/biochephy.v4i2.1399.

B. Bayu Dwi Chayo, “Analisis Perencanaan Perbaikan Faktor Daya Sebagai Upaya Optimasi Daya Listrik Di Gedung Jurusan Teknik Elektro Universitas Malikussaleh,” PhD Thesis, UNIVERSITAS MALIKUSSALEH, 2024. Accessed: Dec. 31, 2024. [Online]. Available: https://rama.unimal.ac.id/id/eprint/625/

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Published

2025-01-02