Martina, Aloys Yantri (2019) Prediksi Keandalan Real-Time Pada Sistem Pengendalian Level Separator Berdasarkan Prediksi Kesalahan Sensor. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Separator merupakan salah satu plant utama dalam proses pengolahan minyak dan gas (migas) di Saka Indonesia Pangkah Limited (SIPL). Kinerja dari separator dipengaruhi oleh level fluida pada separator, sehingga pada separator diperlukan suatu sistem pengendalian level untuk menjaga kemurnian fluida. Salah satu penyebab terjadinya kegagalan pada sistem separator dapat disebabkan oleh kesalahan pengukuran sensor. Pada makalah ini dirancang sistem prediksi keandalan real-time pada sistem pengendalian level pada separator berdasarkan prediksi kesalahan sensor. Bentuk kesalahan sensor yang terjadi pada sistem ini yaitu loss of sensitivity. Adapun langkah utama yang dilakukan dalam perancangan sistem ini adalah perancangan observer untuk mengestimasi kesalahan sensor, perancangan algoritma exponential smoothing untuk memprediksi kesalahan dan perancangan algoritma reliability prediction untuk menghitung keandalan. Berdasarkan hasil simulasi didapatkan, observer yang telah dirancang dengan menggunakan Linear Matrix Inequality (LMI) untuk menentukan gainnya dapat dengan baik mengestimasi nilai kesalahan sensor dengan nilai error sebesar 0,297%. Algoritma exponential smoothing dapat bekerja dengan optimal dengan menggunakan time interval 1s. Pada uji reliability prediction ditemukan bahwa jumlah prediksi mempengaruhi ketelitian prediksi keandalan real-time yang dihasilkan, semakin besar jumlah prediksi maka semakin teliti. Jumlah prediksi 10 menghasilkan prediksi keandalan real-time lebih baik dibandingkan jumlah prediksi sebesar dari 3, 5 dan 7.
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Separator is one of the main plants in the processing of oil and gas (oil and gas) at Saka Indonesia Pangkah Limited (SIPL). The performance of the separator is influenced by the fluid level in the separator, so that at the separator a level control system is needed to maintain fluid purity. One of the causes of failure in the separator system can be caused by a sensor measurement error. In this paper a real-time reliability prediction system is designed on the level control system on the separator based on sensor error prediction. The form of sensor error that occurs in this system is loss of sensitivity. The main step taken in designing this system is designing the observer to estimate sensor errors, designing exponential smoothing algorithms to predict errors and designing reliability prediction algorithms to calculate reliability. Based on the simulation results obtained, observers who have been designed using the Linear Matrix Inequality (LMI) to determine the gain can well estimate the value of sensor errors with an error value of 0.297%. The exponential smoothing algorithm can work optimally by using time interval 1s. In the reliability prediction test it was found that the number of predictions affected the accuracy of the real-time reliability predictions produced, the greater the number of predictions, the more thorough. Prediction number 10 produces better predictions of real-time reliability than the number of predictions of 3, 5 and 7.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSF 620.004 52 Mar p-1 2019 |
| Uncontrolled Keywords: | Exponential smoothing, kesalahan sensor, observer, prediksi keandalan, separator |
| Subjects: | T Technology > T Technology (General) > T55 Industrial Safety T Technology > T Technology (General) > T57.62 Simulation T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7870.23 Reliability. Failures |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Aloys Yantri Martina |
| Date Deposited: | 06 May 2024 02:21 |
| Last Modified: | 06 May 2024 02:21 |
| URI: | http://repository.its.ac.id/id/eprint/68663 |
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