IDENTIFIKASI KERUSAKAN MESIN POMPA PADA BOILER FEEDWATER MENGGUNAKAN PENDEKATAN HIBRIDA CERTAINTY FACTOR DAN RANDOM FOREST
DOI:
https://doi.org/10.53026/sntem2025.v5i1.611Keywords:
Analisis Vibrasi, Certainty Factor, Identifikasi Kerusakan, Pemeliharaan Prediktif, Pompa Boiler FeedwaterAbstract
Penelitian ini menginvestigasi penerapan metode Certainty Factor untuk identifikasi kerusakan pada mesin pompa boiler feedwater. Mengadopsi pendekatan kuantitatif, studi ini menganalisis data operasional seperti tekanan, suhu, laju aliran, dan vibrasi yang dikumpulkan dari sistem kontrol terdistribusi. Analisis sinyal getaran secara khusus diintegrasikan sebagai metode utama dalam pemeliharaan prediktif untuk mendeteksi anomali dan mengidentifikasi karakteristik kerusakan potensial pada tahap awal. Pendekatan ini bertujuan untuk mencegah kegagalan katastropik, memperpanjang umur operasional pompa, serta mengurangi biaya pemeliharaan dan waktu henti produksi. Temuan penelitian mengkonfirmasi bahwa penerapan Sistem Diagnostik berbasis Certainty Factor efektif dalam mendeteksi dan mengklasifikasikan berbagai jenis kerusakan (seperti ketidakseimbangan atau misalignment) pada mesin pompa boiler feedwater dengan akurasi diagnostik yang tinggi. Hasil ini mendukung transisi menuju strategi perawatan prediktif yang memanfaatkan analisis data waktu nyata, sebagai bagian dari implementasi sistem cerdas untuk mengantisipasi potensi kegagalan, secara signifikan meningkatkan keandalan operasional dan mengurangi biaya siklus hidup aset.
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