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Method and system for recognizing fault of chemical process

A chemical process and fault identification technology, which is applied in the field of chemical process fault identification methods and systems, can solve problems such as poor performance, achieve the effects of improving performance, efficient chemical process fault identification, and improving identification accuracy

Active Publication Date: 2020-01-03
QINGDAO UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In some studies, traditional supervised learning has relatively high requirements for the number of labeled data. In the case of the same amount of labeled data, the existing semi-supervised learning methods show worse performance than supervised learning.

Method used

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  • Method and system for recognizing fault of chemical process
  • Method and system for recognizing fault of chemical process
  • Method and system for recognizing fault of chemical process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] In the technical solutions disclosed in one or more embodiments, such as figure 1 As shown, a chemical process fault identification method includes the following steps:

[0066] Step 1. Obtain real-time operating data during the chemical production process;

[0067] Step 2. Preprocessing the acquired operation data;

[0068] Step 3, using the principal component analysis method to select key characteristic data in the operating data;

[0069] Step 4. Establish a dynamic active safety semi-supervised support vector machine model based on a semi-supervised learning method, input key feature data into the trained dynamic active safety semi-supervised support vector machine model, and output the operating status of the chemical process.

[0070] The operation data obtained in the step 1 in the chemical production process includes the flow rate of each material in the chemical production, the control parameter data in each equipment, and the like. The following table 1 is...

Embodiment 2

[0143] This embodiment provides a chemical process fault identification system, including:

[0144] Data acquisition module: used for real-time acquisition of operating data in the chemical production process;

[0145] Preprocessing module: used to preprocess the acquired running data;

[0146] Key feature data extraction module: used to select key feature data in the operating data by using the principal component analysis method;

[0147] Identification module: It is used to establish a dynamic active safety semi-supervised support vector machine model based on a semi-supervised learning method, input key feature data into the trained dynamic active safety semi-supervised support vector machine model, and output the operating status of the chemical process.

Embodiment 3

[0149] This embodiment provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, the steps described in the method in Embodiment 1 are completed.

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Abstract

The disclosure puts forward a method and a system for recognizing a fault of a chemical process, which are applied to the field of expensive label chemical fault recognition. The method and the systemare characterized in that: a dynamic active safety semi-supervised support vector machine model (PCA-DAS4VM model for short) is used for recognizing an operation state of the chemical process, a principal component analysis method is combined with the dynamic active safety semi-supervised support vector machine, the requirement of traditional supervised learning on the number of label data is made up, and recognition accuracy of the semi-supervised learning is improved; the principal component analysis method is adopted to eliminate noise and redundant data in the chemical process, abnormal working condition fault recognition is performed by combination between historical information and future information, unmarked data with high entropy is effectively selected and marked, the unmarked data is fully utilized to improve the performance of a recognizing model, efficient and complete fault recognization operation in the chemical process is realized, the recognization accuracy is high, and the recognization speed is quick, so that the development of chemical safety is promoted.

Description

technical field [0001] The present disclosure relates to the related technical field of chemical process fault identification, and specifically relates to a chemical process fault identification method and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] According to the statistical analysis of accidents in chemical enterprises, it is found that before any major accident, there must be many small abnormalities. Therefore, it is of great theoretical and practical significance to carry out fault identification research on chemical process and discover potential abnormal conditions in time to maintain the safe and stable operation of chemical equipment. [0004] The inventors found that existing process fault identification methods are mainly divided into: qualitative models, quantitative models and data-driven methods. Among all t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 田文德贾旭清刘子健张士发
Owner QINGDAO UNIV OF SCI & TECH
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