State monitoring method of gas-liquid two-phase flow based on multimodal dynamic nuclear analysis
A gas-liquid two-phase flow, multi-modal technology, used in electrical testing/monitoring, testing/monitoring control systems, instruments, etc., can solve the time lag l is not fully considered, and the flow state of gas-liquid two-phase flow has not yet been seen Monitoring research and application issues to achieve the effect of improving accuracy
Active Publication Date: 2022-06-17
TIANJIN UNIV
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[0004] Although dynamic kernel principal component analysis and its related methods are widely used in industrial process monitoring, the value of time lag l does not fully consider the characteristics and operating mechanism of the actual industrial process, such as the evolution of the process state, the duration of alternation, etc. etc.; In addition, there are no literature reports on the research and application of gas-liquid two-phase flow flow state monitoring
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[0055] A method for monitoring the flow state of gas-liquid two-phase flow based on MDKPCA and sliding window technology of the present invention is described with reference to the accompanying drawings and specific examples.
[0056] The method for monitoring the flow state of a gas-liquid two-phase flow of the present invention obtains flow state test data through multi-sensor signal acquisition and processing, uses dynamic autocorrelation and cross-correlation methods to extract the dynamic characteristics of the flow process of gas-liquid two-phase flow, and uses nuclear The method extracts the nonlinear characteristics, establishes the state models of different flow processes combined with the principal component analysis, and combines the sliding window technology. Phase flow status monitoring.
[0057] like figure 2 As shown, multi-sensor signal acquisition and processing are used to obtain flow state test data.
[0058] like image 3 As shown, when the gas is just ...
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The invention relates to a gas-liquid two-phase flow state monitoring method of multi-modal dynamic nuclear analysis, comprising the following steps: obtaining flow process data X through multi-sensor signal acquisition and processing; establishing a multi-modal DKPCA model for different flow states, from Extract dynamic autocorrelation, cross-correlation and nonlinear characteristics from flow state process data; calculate T of each mode 2 and SPE statistic control limit; using sliding window technology for state monitoring, the data at the current sampling time and the sampling data at the previous l'-1 time constitute a new data sample with a window width of l', and satisfy, l'=l +1; Based on the established multi-modal DKPCA model and the calculated control limits of monitoring statistics, the flow state of gas-liquid two-phase flow is monitored.
Description
technical field [0001] The invention belongs to the technical field of multiphase flow process testing, and relates to the realization of gas-liquid two-phase flow state monitoring by using a multimodal dynamic kernel principle component analysis method and a sliding window technology. Background technique [0002] Multiphase flow refers to a fluid in which two or more "phases" of substances flow simultaneously and have well-defined interfaces, where "phases" are defined as the existing forms of substances, ie gaseous, liquid or solid. Gas-liquid two-phase flow refers to a fluid in which gas and liquid flow at the same time and have a clear interface. It widely exists in nature and many industrial fields such as energy, power, petroleum, chemical industry, metallurgy, and pharmaceuticals. Process variables are many, nonlinear, time-varying, etc., and in the flow process, the state of the current moment depends on the state of the past time period. Because the flow state cha...
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IPC IPC(8): G05B23/02
CPCG05B23/024
Inventor 董峰李昭张淑美李凌涵
Owner TIANJIN UNIV