Development of a Framework to Control and Model Based Fault Diagnosis of a Gas Transmission Network

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Kheradmandi, Masoud | 2013

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 45050 (06)
University: Sharif University of Technology
Department: Chemical and Petroleum Engineering
Advisor(s): Bozorgmehry, Ramin
Abstract:
In this project a framework for Model Based Fault Diagnosis (MBFD) in a Gas Transmission Network (GTN) was developed. A black-box linear state-space model was used to capture dynamic behavior of an industrial benchmark for GTN. A full fledge commercial network simulator were used to obtain the required data for process identification. In order to check the robustness of the model zero mean white noise was imposed on various output obtained by the commercial simulator. Kalman filter was used to estimate the states of the GTN. These estimated states along with the measured output (all obtained from the commercial simulator) are almost similar to their corresponding estimated signal. This shows the appropriate design of Kalman filter. The designed Kalman filter was then used to estimate states in the network in which a set of faults occurred. These estimated states is then used to diagnose various faults occurred in the GTN. Results show that the proposed framework is capable of diagnosing single and dual concurrent faults occurring in the used benchmark
Keywords:
Gas Transmission Network ; System Identification ; Automatic Fault Diagnosis ; Kalman Filters

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