Baseline dan Predictive Value Vibrasi : Metode Perhitungan Berbasis Struktur Motor Fan pada Area Raw Mill

Wijayanti, Wahyu (2026) Baseline dan Predictive Value Vibrasi : Metode Perhitungan Berbasis Struktur Motor Fan pada Area Raw Mill. Project Report. [s.n]. (Unpublished)

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Abstract

Motor fan pada area Raw Mill merupakan peralatan kritis yang mempengaruhi kelangsungan proses produksi. Untuk mencegah terjadinya kerusakan dan downtime, diperlukan sistem monitoring yang mampu mendeteksi potensi gangguan secara dini. Penelitian ini bertujuan menentukan nilai baseline vibrasi serta mengembangkan metode predictive value berbasis hubungan struktural antar sensor pada motor fan.Data diambil melalui Engineering Station berupa nilai vibrasi dan RPM pada kondisi operasi normal. Pengolahan data dilakukan dengan normalisasi vibrasi terhadap RPM, perhitungan baseline rata-rata, penentuan rasio struktural multi waktu, serta pembobotan sensor berdasarkan jarak mekanik. Selanjutnya disusun rumus predictive value untuk mengestimasi nilai vibrasi pada titik tertentu. Hasil menunjukkan bahwa normalisasi terhadap RPM meningkatkan
akurasi analisis, dan baseline gabungan menghasilkan rasio yang stabil sebagai acuan kondisi normal. Metode predictive value mampu meningkatkan sensitivitas deteksi dini dibandingkan analisis nilai absolut, sehingga mendukung penerapan predictive maintenance yang lebih efektif.
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The fan motor in the Raw Mill area is a critical piece of equipment that affects the continuity of the production process. To prevent damage and downtime, a monitoring system is needed that can detect potential issues early. This study aims to determine the baseline vibration values and develop a predictive value method based on the structural relationships between sensors on the fan motor. Data was collected through the Engineering Station in the form of vibration and RPM values under normal operating conditions. Data processing involved normalizing vibration against RPM, calculating the average baseline, determining multi-time structural ratios, and weighting sensors based on mechanical distance. Then, a predictive value formula was created to estimate vibration values at certain points. The results show that normalization to RPM improves analysis accuracy, and the combined baseline produces a stable ratio as a reference for normal conditions. The predictive value method can increase early detection sensitivity compared to absolute value analysis, thus supporting a more effective implementation of predictive maintenance.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Vibrasi, Vibration, Baseline, Predictive Value, Motor Fan, Predictive Maintenance, Raw Mill.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ174 Maintenance and repair of machinery
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Wahyu Wijayanti
Date Deposited:	30 Jul 2026 01:54
Last Modified:	30 Jul 2026 01:54
URI:	http://repository.its.ac.id/id/eprint/139857

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