Anomaly Detection Method of Natural Gas Purification Process Based on Dynamic Kernel Independent Component Analysis
A technology of independent component analysis and detection method, applied in the direction of electrical test/monitoring, test/monitoring control system, instrument, etc., can solve problems such as failure to detect faults in time
Active Publication Date: 2017-02-22
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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[0007] The purpose of the present invention is to overcome the deficiency that the existing technology cannot detect the occurrence of faults in time, and provide a method for detecting abnormalities in the natural gas purification process based on dynamic kernel independent component analysis, which can detect the occurrence of faults in time, and trace back the cause of the fault caused by the process operation parameters , so as to provide decision-making reference for system troubleshooting and recovery
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Embodiment 1
[0041] see image 3 , a method for abnormal detection of natural gas purification process based on dynamic kernel independent component analysis, the diagnosis method is carried out as follows:
[0042] Step 1: Determine m process parameters in the production process of the detected high-sulfur natural gas purification and desulfurization, wherein, m=10, and each process parameter is respectively: x 1 Indicates the inlet flow rate of the desulfurization absorption tower amine liquid, x 2 Indicates the inlet flow rate of tail gas absorption tower amine liquid, x 3 Indicates the raw material gas processing capacity, x 4 Indicates the circulating volume of semi-rich amine solution, x 5 Indicates the inlet temperature of the primary absorption tower amine liquid, x 6 Indicates the inlet temperature of the secondary absorption tower amine liquid, x 7 Indicates the flash tank pressure, x 8 Indicates the steam consumption at port A of the reboiler, x 9 Indicates the steam cons...
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The invention discloses an abnormity detection method for natural gas purification process based on analysis of an independent component of a dynamic kernel. The diagnosis method comprises the following steps: determining technical parameters in a monitored purification and desulfuration production process for natural gas with high sulfur content; carrying out data acquisition on the purification and desulfuration production process for the natural gas with high sulfur content; preprocessing data; analyzing an autoregressive model of the data, and determining a dynamic lag order of the model to obtain a dynamic expansion matrix; carrying out whitening processing on the expansion matrix in a kernel principal component space, extracting a principal component, and analyzing and estimating an independent element by an independent component; calculating an SPE statistical magnitude and a T2 statistical magnitude corresponding to the independent element, analyzing whether the statistical magnitudes are overproof or not, determining that an abnormal working condition happens if the statistical magnitudes are overproof, otherwise, determining that the working condition is normal, and carrying out abnormal working condition parameter tracing by a T2 contribution figure method. According to the method, a failure can be detected in time, and a failure reason resulting in the technical operation parameter is traced back, so that a decision-making reference basis is provided for system failure elimination and recovery.
Description
technical field [0001] The invention belongs to the fault detection and diagnosis technology in the desulfurization production process of high-sulfur natural gas, and relates to an abnormal detection method in the natural gas purification process based on dynamic kernel independent component analysis. Background technique [0002] The industrial process of purification and desulfurization of high-sulfur natural gas is complex, with many process parameters, which are affected by uncertain factors such as temperature, pressure, flow rate, equipment aging and raw material gas processing capacity. It is a typical chemical system with complex nonlinear dynamic characteristics. The purification and desulfurization process of high-sulfur natural gas mainly includes the following parts: the MDEA solution in the main absorption tower absorbs the acidic component H 2 S and CO 2 , hydrolysis reactor removal (COS), regeneration tower MDEA solution cycle regeneration and heat exchange p...
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IPC IPC(8): G05B23/02
CPCG05B23/0254
Inventor 李景哲苏盈盈邱奎辜小花李太福张利亚
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY