Analisis Kegagalan Axial Fan Unit Pada Sistem Pendinginan Lean Amine Di Industri LNG Menggunakan Metode Fault Tree Analysis (FTA)

Abitha, I Putu Ramanda Bahtra Satria (2026) Analisis Kegagalan Axial Fan Unit Pada Sistem Pendinginan Lean Amine Di Industri LNG Menggunakan Metode Fault Tree Analysis (FTA). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Axial Fan Unit merupakan komponen esensial pada sistem pendinginan Lean Amine di industri Liquefied Natural Gas (LNG). Kegagalan pada unit ini berpotensi mengganggu keseluruhan proses pemurnian gas dengan terhambatnya proses penurunan temperatur fluida. Berdasarkan data riwayat perawatan tahun 2012 hingga 2024, Axial Fan Unit memiliki frekuensi kegagalan tertinggi dibandingkan komponen lain pada Lean Amine Pre-Cooler. Penelitian ini bertujuan untuk menganalisis akar penyebab kegagalan (Root Cause) pada Axial Fan Unit menggunakan metode Fault Tree Analysis (FTA) secara kualitatif dan kuantitatif. Analisis dilakukan dengan menyusun pohon kegagalan dari Top Event hingga tingkat Basic Event, mencari Minimal Cut Sets (MCS), dan menghitung nilai Probability of Failure (PoF). Pendalaman analisis pada critical Event divalidasi menggunakan data Vibration Monitoring, simulasi TransientStructural ANSYS, dan metode 5 Whys untuk merumuskan rekomendasi perawatan. Hasil evaluasi menunjukkan probabilitas kegagalan Top Event sebesar 9,77 x 10⁻¹ per tahun, di mana angka ini telah melebihi batas standar keandalan perusahaan sebesar 1 x 10⁻². Jalur kritis (critical path) pada sistem ini terletak pada kegagalan transmisi, dengan HTD Belt Broken sebagai kejadian dasar penyumbang probabilitas tertinggi (PoF 6,03 x 10⁻¹ per tahun). Validasi lanjutan mengindikasikan bahwa kerusakan sabuk dipicu oleh kelelahan material (Wear-out), tegangan instalasi sabuk yang tidak tepat, dan Sprocket Misalignment. Sebagai solusi, rekomendasi perawatan yang diusulkan meliputi interval 3 bulan berdasarkan analisis Weibull dengan target keandalan minimum 0,90, pencatatan running hours sabuk, penambahan parameter batas tension minimum dan maksimum yang eksplisit pada instruksi kerja, serta pelaksanaan inspeksi menggunakan instrumen laser Pulley alignment.
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The Axial Fan Unit is an essential component in the Lean Amine cooling system within the Liquefied Natural Gas (LNG) industry. Failure of this unit can potentially disrupt the overall gas purification process by hindering the fluid's temperature reduction. Based on maintenance history data from 2012 to 2024, the Axial Fan Unit exhibited the highest Failure frequency compared to other components on the Lean Amine Pre-Cooler. This study aims to analyze the Root Causes of Failure in the Axial Fan Unit using both qualitative and quantitative Fault Tree Analysis (FTA) methods. The analysis involves constructing a fault tree from the Top Event down to Basic Events, identifying Minimal Cut Sets (MCS), and calculating the Probability of Failure (PoF). Further analysis of the critical Event was validated using Vibration Monitoring data, ANSYS TransientStructural simulation, and the 5 Whys method to formulate maintenance recommendations. The evaluation results indicate a Top Event Failure Probability of 9.77 x 10⁻¹ per year, which significantly exceeds the company's acceptable reliability standard of 1 x 10⁻². The critical path of this system lies in transmission Failure, with "HTD Belt Broken" identified as the highest contributing Basic Event (PoF 6.03 x 10⁻¹ per year). Further validation reveals that Belt Failure is primarily triggered by normal material fatigue (Wear-out), improper Belt installation tension, and Sprocket Misalignment. Consequently, the proposed maintenance recommendations include recommended 3 months interval from Weibull Analysis with 0,90 reliability minimum, recording the Belt's cumulative running hours, explicitly defining minimum and maximum tension setpoints in work instructions, and implementing laser Pulley alignment inspections.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Axial Fan Unit, Fault Tree Analysis, HTD Belt, Industri LNG, Probability of Failure, Rekomendasi Perawatan, LNG Industry, Maintenance Recommendations
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ174 Maintenance and repair of machinery T Technology > TJ Mechanical engineering and machinery > TJ263 Heat exchangers T Technology > TS Manufactures > TS174 Maintainability (Engineering) . Reliability (Engineering)
Divisions:	Faculty of Vocational > Mechanical Industrial Engineering (D4)
Depositing User:	I Putu Ramanda Bahtra Satria Abitha
Date Deposited:	20 Jul 2026 03:32
Last Modified:	20 Jul 2026 03:32
URI:	http://repository.its.ac.id/id/eprint/135603

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