Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70779
Title: Development of intelligent network monitoring and data mining system for natural gas transmission pipelines
Authors: Zhang, Zhao
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Abstract: In the garden city Singapore, the energy consumption is getting higher for each year. In order to get sufficient and reliable energy supply, the Energy Market Authority (EMA) was established to be part of the government sector to remove some of the restrictions for the electricity market in 2001[1]. As for now, about 95 percent energy supply is generated by natural gas[1]. Furthermore, most of the natural gas transmission and distribution network is underground. Thus, when there is a pipeline fault occurs, it is difficult to monitor the fault. In this project, a simulation by National Instruments LabView software was conducted. It will be simulated by laying the sensors onto a pipeline and test on different situations which consist of temperature, strain and acoustic emission. The final output of this system will be included a user interface which allowed user to change and monitor every sensor from the sample pipe.
URI: http://hdl.handle.net/10356/70779
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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