Listianah, Sinta Devi (2021) Rancang Bangun Sistem Deteksi Kesalahan Angular Misalignment Menggunakan Pengukuran Arus. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Rancang Bangun Sistem Deteksi Kesalahan Angular Misalignment Menggunakan Pengukuran Arus.pdf - Accepted Version Restricted to Repository staff only until 1 October 2023. Download (1MB) | Request a copy |
Abstract
Pada penelitian tugas akhir ini dirancang sistem deteksi kesalahan angular misalignment menggunakan pengukuran arus dengan fuzzy logic sebagai logika keputusan. Perancangan sistem ini dibuat dengan menggunakan sensor arus jenis travo CT dan arduino sebagai mikrokontroller pengolahan sinyal arus. Sinyal kemudian diolah dengan teknik Fast Fourier Transform untuk mengubah output arduino dari domain waktu menjadi domain frekuensi. Selanjutnya sinyal diolah dengan algoritma findpeak untuk mendeteksi adanya peak di daerah f + nfr. Hasil deteksi dari findpeak merupakan amplitudo dari peak yang terdeteksi. Nilai amplitudo ini kemudian menjadi input batasan pada fuzzy logic. Keluaran dari fuzzy logic ini merupakan besar derajat misalignment yang terjadi pada motor induksi. Hasil sistem diagnosis ini didapatkan peak di pada Δf + 3Δfr Hz. Sistem dapat mendeteksi misalignment pada 2°, 3° dan 4°. Hasil peak pada misalignment 1°, 2°, 3° dan 4° linier. Hasil peak pada misalignment 1°, 2°, 3° dan 4° linier. Hasil missed alarm terbesar pada kondisi misalignment 2⁰ sedangkan hasil false alarm terbesar pada kondisi 3⁰. Nilai akurasi terbesar terdapat pada misalignment 2⁰ dan 4⁰ yaitu 44,44%.
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In this last project, an angular misalignment error detection system is designed using current measurement using fuzzy logic as decision logic. The design of this system is made using travo CT type current sensorsand arduino as microcontrollers processing current signals. The signal is then processed using the Fast Fourier Transform technique to convert the Arduino output from the time domain to the frequency domain. Furthermore, the signal is processed by the findpeak algorithm to detect the presence of a peak in the f + nfr region. The detection result from findpeak is the amplitude of the detected peak. This amplitude value then becomes the input limit on the fuzzy logic. The output of this fuzzy logic is the degree of misalignment that occurs in the induction motor. The results of this diagnostic system obtained a peak at f + 3Δfr Hz. The system can detect misalignment at 2°, 3° and 4°. Peak results at 1°, 2°, 3° and 4° linear misalignment. Peak results at misalignments of 1°, 2°, 3° and 4° linear. The largest missed alarm result in misalignment condition 2⁰ while the largest false alarm result in the condition 3⁰. The greatest accuracy values are in misalignments 2⁰ and 4⁰ which is 44.44%.
| Item Type: | Thesis (Undergraduate) |
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| Uncontrolled Keywords: | Angular Misalignment, Arus, Fuzzy Logic, Motor Induksi Angular Misalignment, Current, Fuzzy Logic, Induction Motor |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Sinta Devi Listianah |
| Date Deposited: | 27 Sep 2021 04:43 |
| Last Modified: | 27 Sep 2021 04:43 |
| URI: | http://repository.its.ac.id/id/eprint/91018 |
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