Rifai, Moh Irfan (2023) Sistem Deteksi Dini Kerusakan Motor Induksi Tiga Fasa Sebagai Penggerak Pintu Air Menggunakan Metodę Fuzzy Logic. Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada ladang garam terdapat pintu air berfungsi sebagai buka tutup pintu dan terdapat motor induksi berfungsi sebagai terdapat kelembapan yang tinggi, kadar garam yang tinggi berlokasi outdoor, dan remot area. Sehingga dapat menghambat proses produksi garam.Sistem deteksi kerusakan pada motor induksi menggunakan metode Fuzzy Logic sehingga dapat klasifikasi/identifikasi dan prediksi terhadap kerusakan yang terjadi pada motor induksi. Fuzzy Logic yang digunakan pada sistem diagnosis kerusakan motor induksi menggunakan metode Fuzzy Logic Mamdani. Pengujian metode Fuzzy Logic dalam sistem diagnosis kerusakan pada motor induksi dilakukan dengan mengkorelasikan beberapa sensor seperti sensor getaran, sensor tegangan, sensor arus, dan sensor temperatur pada motor induksi 3 fasa. Sedangkan output yang diberikan adalah notifikasi kerusakan motor induksi seperti normal perlu maintenance normal .Sebagai solusi masalah Tersebut, maka dibuatlah sistem deteksi dini kerusakan motor induksi tiga fasa untuk memudahkan para perkerja melakukan perawatan terhadap motor induksi sehingga sistem buka tutup pada pintu air dapat berjalan dengan baik dan tidak menganggu proses produksi pada pembuatan garam. Dari pengujian yang sudah dilakukan, sistem dapat mendiagnosis kerusakan pada motor induksi yaitu dari pengujian yang sudah dilakukan, sistem dapat mendiagnosis kerusakan pada motor induksi yaitu. Dari pengujian yang sudah dilakukan, sistem dapat mendiagnosis kerusakan pada motor induksi yaitu pada kerusakan motor kemudian untuk Sistem dapat mendiagnosis kerusakan pada motor induksi yaitu pada saat nilai waktu 15 menit dengan tegangan 220 V, Arus 27 A, Getaran 250 Hz, dan Temperatur 57 °C terdapat perubahan dari motor normal dan menunju motor maintenance terdapat kenaikan terhadap kenaikan Arus dan Temperatur yang dimana output dari motor perlu maintenance. Percobaan yang kedua sistem dapat mendiagnosis kerusakan pada motor induksi yaitu pada saat pengujian yang dilakukan pada saat nilai waktu 10 menit dengan tegangan 246V, Arus 23A, Getaran 322 Hz dan Temperatur 44 °C terdapat perubahan kenaikan tegangan atau overvoltage dan getaran tinggi mengakbitkan sistem deteksi motor mengeluarkan output perlu maintenance.Sistem deteksi ini sudah terimplementasikan dengan baik sistem mampu membaca motor dengan kondisi normal,maintenance dan rusak.
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In the salt fields there is a sluice gate that functions as an open and close door and there is an induction motor that functions as a location. There is high humidity, high salt content located outdoors, and remote areas. So that damage to the induction motor often occurs so that it can inhibit the salt production process. The damage detection system for induction motors uses the Fuzzy Logic method so that it can recognize patterns, classify/identify and predict damage to induction motors. Fuzzy Logic used in the induction motor damage diagnosis system uses the Mamdani method. Testing the Fuzzy Logic method in the damage diagnosis system for induction motors is carried out by correlating several sensors such as vibration sensors, voltage sensors, current sensors, and temperature sensors on 3 phase induction motors. While the output given is a notification of induction motor damage such as the motor cannot rotate, the motor rotates slowly, and the motor has high temperatures. As a solution to this problem, a motor monitoring tool was created to make it easier for workers to carry out maintenance on induction motors so that the system opens and closes at the sluice gate. can run well and not interfere with the production process in making salt. From the tests that have been carried out, the system can diagnose damage to the induction motor, namely from the tests that have been carried out, the system can diagnose damage to the induction motor, namely. From the tests that have been carried out, the system can diagnose damage to the induction motor, namely damage to the motor, then the system can diagnose damage to the induction motor, namely when the time value is 15 minutes with a voltage of 220 V Current 27 A, Vibration 250 Hz, and Temperature 57°C there is a change from the normal motor and towards motor maintenance there is an increase in Current and Temperature increase which is where the output of the motor needs maintenance. In the second experiment, the system can diagnose damage to the induction motor, namely when the test is carried out at a time value of 10 minutes with a voltage of 246 V, Current 23 A, Vibration 322 Hz and Temperature 44 °C there is a change increased voltage or overvoltage and high vibrations cause the motor detection system to issue an output that requires maintenance.
| Item Type: | Thesis (Diploma) |
|---|---|
| Uncontrolled Keywords: | Sistem Deteksi, Motor Induksi Tiga Fasa, Fuzzy Logic, Pintu Air |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2692 Inverters T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4055 Electric motor |
| Divisions: | Faculty of Vocational > 36304-Automation Electronic Engineering |
| Depositing User: | Moh Irfan Rifai |
| Date Deposited: | 11 Aug 2023 00:39 |
| Last Modified: | 11 Aug 2023 00:39 |
| URI: | http://repository.its.ac.id/id/eprint/104242 |
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