Abnormal detection and diagnosis method of non-Gaussian dynamic high-sulfur natural gas purification process

Abstract

The invention discloses an abnormity detection and diagnosis method for a non-gaussian dynamic high-sulfur natural gas purification process. The diagnosis method comprises the following steps: randomly collecting high-sulfur natural gas purification process data to form an original measurement sample set; preprocessing the data; determining the time delay order of the model by analyzing an industrial process autoregression model, then projecting the data to a nuclear independent element space, and realizing abnormity detection by monitoring whether the statistics of T2 and SPE corresponding to an independent element is beyond the control limit set under the normal state or not; finally, calculating a first-order partial derivative of the statistics of T2 for original variables, drawing the contribution chart of the first-order partial derivative, and thus realizing abnormity diagnosis. The method can detect failure occurrence in time and retrospects the reason of process operating parameters which cause failures, so that decision-making reference is provided for system failure investigation and recovery and monitoring in the nonlinear, dynamic and non-gaussian process is realized.

Description

Technical field [0001] The invention belongs to the fault detection and diagnosis technology for the desulfurization production process of high-sulfur natural gas, and relates to a non-Gaussian dynamic high-sulfur natural gas purification process. Background technique [0002] The industrial process for purification and desulfurization of high-sulfur natural gas is complex, with numerous process parameters, affected by uncertain factors such as temperature, pressure, flow rate, equipment aging, and raw 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 acidic component H 2 S and CO 2 , Hydrolysis reactor removal (COS), cyclic regeneration of the MDEA solution in the regeneration tower and heat exchange process, the specific process flow is as figure 2 Shown. Once th...

AI Technical Summary

Problems solved by technology

[0006] 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 non-Gaussian dynamic high-sulfur natural gas purification process, 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 the system Troubleshooting and recovery provide decision-making reference

Images