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Qualitative Trend Analysis and Its Application in Chemical Process Fault Diagnosis

Author: WangHui
Tutor: LiXiuXi
School: South China University of Technology
Course: Chemical Engineering
Keywords: Qualitative Trend Analysis On-line Processing Fault Diagnosis Tennessee Eastman Processs
CLC: TQ021.8
Type: Master's thesis
Year: 2011
Downloads: 101
Quote: 0
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Abstract


Chemical industry plays a very important role in industrial production, it involves almost all aspects of people’s lives. In recent years,along with the development of science and technology, production units of chemical industry become bigger and bigger,technological processes become more complex, automatic level becomes higher and higher. Therefore, the security problem of chemical industry get more and more people’s attention. The application of fault diagnosis technology to provide decision support to ensure the safety of chemical production has always been one of the focus of the researchers and engineers.There are many fault diagnosis methods have been introduced in this paper, and they each have different strengths and weaknesses. Qualitative trend analysis(QTA) has been widely used because of its concise, intuitive advantages. The history and current status of QTA has been introduced carefully in this paper.A relatively concise trend extraction method has been used in this paper. Semi-quantitative trend can be extracted from sensor data, three primitives are used to describe the process trend: increasing, decreasing and steady. Transition of sensor data can be detected by this algorithm, and its advantages are obviously: there are only three primitives, and the correlation between these primitives is small, so the description of process trend is more intuitive and precise, computation complexity is relatively low. In view of the real-time processing needs in actual industrial process, off-line processing has been improved in this paper, which can satisfy the on-line processing requirements.In order to apply the extracted trends to fault diagnosis, a framework for QTA based fault diagnosis has been introduced in this paper. The application study of Tennessee Eastman proeess proves the feasibility and superiority of the proposed method, and achieves the expected results.

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CLC: > Industrial Technology > Chemical Industry > General issues > Chemical processes ( physical processes and physical and chemical processes ) > Basic theory > Chemical Engineering and Systems Engineering
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