Condition Based Maintenance Dengan Mahalanobis Taguchi System (Studi Kasus: Perusahaan Leasing Heavy Equipment)

Susanto, Bagus Susilo Pramuwicaksono (2020) Condition Based Maintenance Dengan Mahalanobis Taguchi System (Studi Kasus: Perusahaan Leasing Heavy Equipment). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Alat berat pada industri pertambangan merupakan instrumen penting dalam mencapai target produksi perusahaan. Akan tetapi di sisi lain alat berat adalah peralatan yang kompleks dan mahal. Permasalahan tersebut dapat diatasi dengan melakukan penyewaan (leasing) alat berat ke agen eksternal. Di dalam kontrak leasing antara lessee dan lessor di diskusikan mengenai strategi maintenance terhadap alat yang akan disewa oleh pihak lessee. Penelitian ini menyajikan skema monitoring CBM secara real time berdasarkan data multi-sensor yang terpasang pada alat berat. Studi kasus dari penelitian ini dilakukan pada unit excavator di perusahaan penyewaan alat berat. Metode Mahalanobis Taguchi System (MTS) digunakan untuk menghandling besarnya data multi sensor. Data dikelompokkan menjadi kelompok data kondisi normal dan kelompok kondisi abnormal. Variabel yang digunakan untuk monitoring kondisi excavator meliputi sensor getaran, tekanan, dan temperatur. Berdasarkan hasil perhitungan threshold kondisi excavator dengan menggunakan teknik pengukuran Mahalanobis Distance (MD) diperoleh hasil threshold kondisi normal yaitu (-2.137 sampai 4.121) sedangkan pada kondisi abnormal accumulator (4.331-39.458), kegagalan pompa (40.956-138.048), kegagalan katup (2708.104-3404.187) dan threshold pada kondisi kegagalan cooler adalah (10736.160-11434.151). Penelitian ini menunjukkan bahwa skema CBM berbasis MD yang dihasilkan dapat mendeteksi, mengidentifikasi, mengisolasi serta memprediksi waktu kegagalan komponen excavator yang diteliti.
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Heavy equipment in the mining industry is an essential instrument in achieving the company's production targets. But on the other hand, heavy equipment is complicated and expensive equipment. These problems can be overcome by leasing the equipment to an external agent. In the lease contract between the lessee and lessor, it is discussed about the maintenance strategy of the equipment that will be rented by the lessee. This research presents a CBM real time monitoring scheme based on multi-sensor data installed on the machine. Case studies from this research were carried out on excavator units in heavy equipment rental companies. The Mahalanobis Taguchi System (MTS) method is used to handle multi-sensor data. Multi-sensor data is grouped into normal condition groups and abnormal condition groups. The variables used to monitor excavator conditions include vibration, pressure and temperature sensors. Based on the results of the calculation of the excavator threshold conditions using the Mahalanobis Distance (MD) measurement technique, the threshold of normal conditions is (-2.137 to 4.121). In contrast, in abnormal accumulator conditions (4,331 to 39,458), pump failure (40,956 to 138,048), valve failure (2708,104 to 3404,187) and the threshold in the condition of the cooler failure is (10736.160 to 11434.151). This study shows that the MD-based CBM scheme produced can detect, identify, isolate and predict the failure time of the excavator components under study.

Item Type:	Thesis (Masters)
Additional Information:	RTI 620.004 6 Sus c-1 2020
Uncontrolled Keywords:	Condition Based Maintenance. Mahalanobis Distance, Mahalanobis Taguchi System, Leasing Equipment.
Subjects:	T Technology > T Technology (General) > T58.62 Decision support systems
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Bagus Susilo Pramuwicaksono Susanto
Date Deposited:	07 Mar 2025 01:47
Last Modified:	07 Mar 2025 01:47
URI:	http://repository.its.ac.id/id/eprint/74742

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