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Novel distributed non-Gaussian process monitoring method based on GA-ICA

A Gaussian process, decentralized technology, applied in genetic models, genetic rules, character and pattern recognition, etc.

Pending Publication Date: 2020-09-22
NINGBO UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it is still debatable to use GA algorithm directly to solve ICA model

Method used

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  • Novel distributed non-Gaussian process monitoring method based on GA-ICA
  • Novel distributed non-Gaussian process monitoring method based on GA-ICA
  • Novel distributed non-Gaussian process monitoring method based on GA-ICA

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Embodiment Construction

[0050] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific examples of implementation.

[0051] The present invention discloses a novel distributed non-Gaussian process monitoring method based on GA-ICA. The specific implementation process of the method of the present invention and its superiority over the existing methods will be described below in conjunction with a specific industrial process example.

[0052] The application object is from Tennessee-Eastman (TE) chemical process experiment, and the prototype is an actual process flow of Eastman chemical production workshop. Currently, the TE process has been widely used in fault detection research as a standard experimental platform due to its complexity. The whole TE process includes 22 measured variables, 12 manipulated variables, and 19 component measured variables. The TE process object can simulate a variety of different fault types, such as...

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Abstract

The invention discloses a novel distributed non-Gaussian process monitoring method based on GA-ICA, and aims to solve an ICA model by using a decimal genetic algorithm and derive an implementation process of multiple ICA algorithms, and on the basis, distributed non-Gaussian process monitoring can be implemented. According to the method, in the process of implementing multi-block modeling, separated vectors and independent components corresponding to all measurement variables are solved by utilizing a decimal genetic algorithm, and then the independent components corresponding to each variablesub-block are separated according to the uniqueness of each variable sub-block. Therefore, the integrity of all measured variables and the local characteristics of each variable sub-block are comprehensively considered when multi-block modeling is implemented, and the distributed non-Gaussian process monitoring method is a brand-new distributed non-Gaussian process monitoring method. In addition,the superiority of the method provided by the invention is verified by a specific embodiment, so that the method provided by the invention is a more optimal distributed non-Gaussian process monitoring method.

Description

technical field [0001] The invention relates to a data-driven process monitoring method, in particular to a novel distributed non-Gaussian process monitoring method based on GA-ICA. Background technique [0002] Under the upsurge of industrial "big data", modern industrial processes are gradually moving towards digital management. Since production process objects can store and measure massive amounts of data offline and online, and these data contain information that can reflect the operating status of the production process, the use of sampled data to monitor the operating status of the process has been favored by many scholars. In fact, both academia and industry have invested a lot of manpower and material resources in the research of process monitoring methods with fault detection as the core task. In the field of data-driven process monitoring research, statistical process monitoring is the most studied method, among which principal component analysis (Principal Compon...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06K9/62G06N3/12
CPCG06N3/126G06F18/2134Y02P90/02
Inventor 唐俊苗童楚东史旭华
Owner NINGBO UNIV
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