Widagdo, Reza Sarwo (2021) Eksperimen Deteksi Gangguan Eksentrisitas Statis Celah Udara Dan Ketidakseimbangan Tegangan Motor Induksi pada 3-Aksis Berbeda. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini menjelaskan pendeteksian eksentrisitas celah udara menggunakan sensor 3-axis digital elf gaussmeter pada motor induksi tiga fasa. Sebagian besar gangguan motor induksi berhubungan dengan eksentrisitas. Dalam praktiknya, eksentrisitas statis dan dinamis terjadi bersamaan. Oleh karena itu, perlu adanya diagnosa atau deteksi dini untuk menghadapinya agar dapat dideteksi dan segera diperbaiki sebelum terjadi masalah yang lebih serius. Pendekatan analitis untuk mengevaluasi kinerja motor induksi tiga fasa di bawah kondisi eksentrik yang berbeda akan disajikan dalam makalah ini. Sensor yang digunakan dalam percobaan ini adalah sensor berbentuk kumparan yang dapat menangkap sinyal fluks menyimpang dari 3 sumbu magnet yang berbeda yaitu sumbu X, Y, dan Z. Sensor ini diletakkan di luar stator dengan jarak 2-3 cm agar tidak mengganggu performa motor. Metode Fast Fourier Transform (FFT) menganalisis spektrum frekuensi fluks menyimpang. Pada penelitian ini pendeteksian kegagalan dilakukan dengan membandingkan spektrum frekuensi deviasi fluks pada kondisi motor normal dengan eksentrisitas 0,1 mm dan 0,2 mm. Hasil uji eksperimental dipaparkan, termasuk motor dengan eksentrisitas celah udara serta pembebanan di bawah kondisi tegangan tidak seimbang. Kemudian, fluks menyimpang pada ketiga sumbu (saluran X, Y, dan Z) diukur dan dibandingkan dalam domain frekuensi. Deteksi eksentrisitas celah udara mudah dideteksi pada kondisi tegangan seimbang dan tanpa beban, sedangkan pada kondisi lain sulit dideteksi karena menimbulkan sideband tambahan pada frekuensi eksentrisitas (fs ± fr).
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This study describes the performance of air gap eccentricity detection using a 3-axis digital elf gaussmeter sensor on a three-phase induction motor. Most induction motor disturbances are related to eccentricity. In practice, static and dynamic eccentricities occur together. Therefore, it is necessary to have an early diagnosis or detection to deal with it so that it can be detected and immediately repaired before a more serious problem occurs. An analytical approach to evaluate the performance of a three-phase induction motor under different eccentric conditions will be presented in this paper. The sensor used in this experiment is a coil-shaped sensor that can capture stray flux signals from 3 different magnetic axes, namely the X, Y, and Z axes. This sensor is placed outside the stator with a distance of 2-3 cm so as not to interfere with motor performance. The Fast Fourier Transform (FFT) method analyzes the deviated flux frequency spectrum. In this study, failure detection was carried out by comparing the frequency spectrum of the flux deviation under normal motor conditions with 0.1 mm and 0.2 mm eccentricities. Experimental test results are presented, including motors with air gap eccentricity and loading under unbalanced voltage conditions. Then, the deviated flux on the three axes (X, Y, and Z channels) is measured and compared in the frequency domain. Detection of air gap eccentricity is easy to detect under balanced voltage conditions and no load, while in other conditions it is difficult to detect because it causes additional sidebands at the eccentricity frequency (fs ± fr).
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | 3-Axis Digital Elf Gaussmeter, Eksentrisitas Celah Udara, Fast Fourier Transform (FFT), Motor Induksi 3-Fasa, 3-Axis Digital Elf Gaussmeter, Air Gap Eccentricity, Fast Fourier Transform (FFT), Three Phase Induction Motor. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements. |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Reza Sarwo Widagdo |
| Date Deposited: | 17 Aug 2021 04:15 |
| Last Modified: | 17 Aug 2021 04:15 |
| URI: | http://repository.its.ac.id/id/eprint/87091 |
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