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http://repository.ipb.ac.id/handle/123456789/166888| Title: | Implementasi Sistem Monitoring Getaran Motor Induksi 3 Fase Berbasis IoT Untuk Analisis Kesesuaian Dengan Standar ISO 10816 |
| Other Titles: | Implementation of IoT Based 3 Phase Induction Motor Vibration Monitoring System for Compliance Analysis with ISO 10816 Standard |
| Authors: | Setiawan, Aep Hawali, Wafi |
| Issue Date: | 2025 |
| Publisher: | IPB University |
| Abstract: | Perkembangan teknologi industri 4.0 mendorong inovasi dalam pemeliharaan motor induksi 3 fase. Penelitian ini mengembangkan sistem monitoring getaran berbasis IoT untuk menganalisis kondisi motor secara real-time sesuai standar ISO 10816. Tujuannya adalah memantau getaran motor, mendeteksi anomali dini, dan menyajikan data dalam antarmuka yang mudah dipahami. Metode meliputi desain sistem IoT dengan sensor getaran, transmisi data menggunakan protokol MQTT, dan analisis Root Mean Square (RMS) velocity. Penelitian dilakukan di PT Linkra Wahana Teknologi menggunakan sensor getaran dan IoT gateway. Hasil yang diharapkan adalah sistem monitoring efektif yang mendukung pemeliharaan prediktif, mengurangi downtime, dan meningkatkan efisiensi operasional. Penelitian ini berkontribusi pada inovasi pemantauan mesin berbasis IoT dalam transformasi digital industri. The advancement of Industry 4.0 technology drives innovation in the maintenance of three-phase induction motors. This research develops an IoT-based vibration monitoring system to analyze motor conditions in real-time according to ISO 10816 standards. The main objective is to monitor motor vibrations, detect early anomalies, and present data through an intuitive interface. The methodology includes designing an IoT system with vibration sensors, data transmission using the MQTT protocol, and Root Mean Square (RMS) velocity analysis. The research is conducted at PT Linkra Wahana Teknologi using vibration sensors and an IoT gateway. The expected outcome is an effective monitoring system that supports predictive maintenance, reduces downtime, and enhances operational efficiency. This study contributes to IoT-based machine monitoring innovation, supporting the digital transformation of industrial asset management. |
| URI: | http://repository.ipb.ac.id/handle/123456789/166888 |
| Appears in Collections: | UT - Computer Engineering Tehcnology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| cover_J0304211050_ce30ae1c4bc54958beeb8b82b7ffa79e.pdf | Cover | 2.46 MB | Adobe PDF | View/Open |
| fulltext_J0304211050_adc64ff2cc104bafaeab3e55494ca107.pdf Restricted Access | Fulltext | 3.78 MB | Adobe PDF | View/Open |
| lampiran_J0304211050_a7566b625e4448d0b959631a326faac6.pdf Restricted Access | Lampiran | 2.12 MB | Adobe PDF | View/Open |
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