PENDETEKSIAN POLA ALIRAN DAN KEBOCORAN PIPA PADA ALIRAN DUA FASE AIR-UDARA MENGGUNAKAN JARINGAN SYARAF TIRUAN (ARTIFICIAL NEURAL NETWORK/ANN)
| Main Authors: | , BUDI SANTOSO, ST, MT, , Prof. Dr. Ir. Indarto, DEA. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2013
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/123151/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=63262 |
Daftar Isi:
- Pipe network was an important part of the fluid transport infrastructure. On the other hand, the pipeline leak detection in two-phase flow using the flow and pressure parameters is very rarely studied. The unique problems in the two phase flow are pressure fluctuations and flow patterns, therefore detection of pipe leak was started with determining the flow pattern characteristics before the leak points can be identified. This research will develop the capabilities offered by the Artificial Neural Networks (ANN) to identify the flow patterns and pipeline leaks in two phase flow using differential pressure transducer (DPT). The air-water mixture flows in a horizontal pipe diameter of 24 mm and the fluctuation of differential pressure were recorded by the data acquisition on the sampling rate of 400 Hz. The artificial leak were established by the solenoid valve at the bottom and the top position of the pipe. Mean, normalized probability density function (NPDF), autocorrelation and power spectral density (PSD) were applied for the flow patterns identification. The differential pressures of mean increased with increasing superficial velocity of water and air. Using of autocorrelation function and PSD show the nonlinear behavior (chaotic) of differential pressure measurements. The combination of PSD and ANN method was able to identify the stratified, plug and slug flow. Fluctuations differential pressure of two-phase flow can not be used for the pipeline leak detection. The data of the combinations of the input flow rate, the differential pressure can be used to identify the pipeline leak in two-phase flow plug by using ANN. The results demonstrated a good ability to the pipeline leak on two-phase flow.